elemosynov commited on
Commit
0c2382b
1 Parent(s): 5d1dac6

First Push

Browse files
Pyramids.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:639f2d84af047a677fea44e9e60f2fc1d4cc408c33ceb8a88b0572703f081b45
3
+ size 1420238
Pyramids/Pyramids-1000003.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:639f2d84af047a677fea44e9e60f2fc1d4cc408c33ceb8a88b0572703f081b45
3
+ size 1420238
Pyramids/Pyramids-1000003.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3043423b05afb3cdaaec827e6fc8947521231574745d32b0601a7c93e020e525
3
+ size 8656252
Pyramids/Pyramids-499905.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3fc417cde4d82da8f227d807f49d301e7541320ed66c1e061aca5866e44b05fa
3
+ size 1420238
Pyramids/Pyramids-499905.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:417591bfb9533bc4f493a9cd7da91882d68702640dc1af1bcf1f5c407f77a4ca
3
+ size 8656173
Pyramids/Pyramids-999875.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:639f2d84af047a677fea44e9e60f2fc1d4cc408c33ceb8a88b0572703f081b45
3
+ size 1420238
Pyramids/Pyramids-999875.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3e4630d39db0e8fc3d0f3e8c36ed6ca9d2514a6899255b574f6b33da012b94a1
3
+ size 8656173
Pyramids/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8c7db0fa57200fef490ae047a5b409d13a0e04b8d3936870c9c03f94ac0f14fa
3
+ size 8655778
Pyramids/events.out.tfevents.1699466361.1ffec4102ccf.9185.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:000642fd49917230e209e102c441f91e0d8657474cec29a5146e0ded9eee302e
3
+ size 314041
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: ml-agents
3
+ tags:
4
+ - Pyramids
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - ML-Agents-Pyramids
8
+ ---
9
+
10
+ # **ppo** Agent playing **Pyramids**
11
+ This is a trained model of a **ppo** agent playing **Pyramids**
12
+ using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
13
+
14
+ ## Usage (with ML-Agents)
15
+ The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
16
+
17
+ We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
18
+ - A *short tutorial* where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your
19
+ browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
20
+ - A *longer tutorial* to understand how works ML-Agents:
21
+ https://huggingface.co/learn/deep-rl-course/unit5/introduction
22
+
23
+ ### Resume the training
24
+ ```bash
25
+ mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
26
+ ```
27
+
28
+ ### Watch your Agent play
29
+ You can watch your agent **playing directly in your browser**
30
+
31
+ 1. If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
32
+ 2. Step 1: Find your model_id: elemosynov/ppo-PyramidsTraining
33
+ 3. Step 2: Select your *.nn /*.onnx file
34
+ 4. Click on Watch the agent play 👀
35
+
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default_settings": null, "behaviors": {"Pyramids": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.01, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 500000, "network_settings": {"normalize": false, "hidden_units": 512, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "reward_signals": {"extrinsic": {"gamma": 0.99, "strength": 1.0, "network_settings": {"normalize": false, "hidden_units": 128, "num_layers": 2, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}}, "rnd": {"gamma": 0.99, "strength": 0.01, "network_settings": {"normalize": false, "hidden_units": 64, "num_layers": 3, "vis_encode_type": "simple", "memory": null, "goal_conditioning_type": "hyper", "deterministic": false}, "learning_rate": 0.0001, "encoding_size": null}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 1000000, "time_horizon": 128, "summary_freq": 30000, "threaded": false, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/Pyramids/Pyramids", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "timeout_wait": 60, "seed": -1, "max_lifetime_restarts": 10, "restarts_rate_limit_n": 1, "restarts_rate_limit_period_s": 60}, "engine_settings": {"width": 84, "height": 84, "quality_level": 5, "time_scale": 20, "target_frame_rate": -1, "capture_frame_rate": 60, "no_graphics": true}, "environment_parameters": null, "checkpoint_settings": {"run_id": "Pyramids Training", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
configuration.yaml ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ Pyramids:
4
+ trainer_type: ppo
5
+ hyperparameters:
6
+ batch_size: 128
7
+ buffer_size: 2048
8
+ learning_rate: 0.0003
9
+ beta: 0.01
10
+ epsilon: 0.2
11
+ lambd: 0.95
12
+ num_epoch: 3
13
+ shared_critic: false
14
+ learning_rate_schedule: linear
15
+ beta_schedule: linear
16
+ epsilon_schedule: linear
17
+ checkpoint_interval: 500000
18
+ network_settings:
19
+ normalize: false
20
+ hidden_units: 512
21
+ num_layers: 2
22
+ vis_encode_type: simple
23
+ memory: null
24
+ goal_conditioning_type: hyper
25
+ deterministic: false
26
+ reward_signals:
27
+ extrinsic:
28
+ gamma: 0.99
29
+ strength: 1.0
30
+ network_settings:
31
+ normalize: false
32
+ hidden_units: 128
33
+ num_layers: 2
34
+ vis_encode_type: simple
35
+ memory: null
36
+ goal_conditioning_type: hyper
37
+ deterministic: false
38
+ rnd:
39
+ gamma: 0.99
40
+ strength: 0.01
41
+ network_settings:
42
+ normalize: false
43
+ hidden_units: 64
44
+ num_layers: 3
45
+ vis_encode_type: simple
46
+ memory: null
47
+ goal_conditioning_type: hyper
48
+ deterministic: false
49
+ learning_rate: 0.0001
50
+ encoding_size: null
51
+ init_path: null
52
+ keep_checkpoints: 5
53
+ even_checkpoints: false
54
+ max_steps: 1000000
55
+ time_horizon: 128
56
+ summary_freq: 30000
57
+ threaded: false
58
+ self_play: null
59
+ behavioral_cloning: null
60
+ env_settings:
61
+ env_path: ./training-envs-executables/linux/Pyramids/Pyramids
62
+ env_args: null
63
+ base_port: 5005
64
+ num_envs: 1
65
+ num_areas: 1
66
+ timeout_wait: 60
67
+ seed: -1
68
+ max_lifetime_restarts: 10
69
+ restarts_rate_limit_n: 1
70
+ restarts_rate_limit_period_s: 60
71
+ engine_settings:
72
+ width: 84
73
+ height: 84
74
+ quality_level: 5
75
+ time_scale: 20
76
+ target_frame_rate: -1
77
+ capture_frame_rate: 60
78
+ no_graphics: true
79
+ environment_parameters: null
80
+ checkpoint_settings:
81
+ run_id: Pyramids Training
82
+ initialize_from: null
83
+ load_model: false
84
+ resume: false
85
+ force: false
86
+ train_model: false
87
+ inference: false
88
+ results_dir: results
89
+ torch_settings:
90
+ device: null
91
+ debug: false
run_logs/Player-0.log ADDED
@@ -0,0 +1,317 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ Mono path[0] = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/Managed'
2
+ Mono config path = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/MonoBleedingEdge/etc'
3
+ Found 1 interfaces on host : 0) 172.28.0.12
4
+ Multi-casting "[IP] 172.28.0.12 [Port] 55076 [Flags] 2 [Guid] 320843537 [EditorId] 764847374 [Version] 1048832 [Id] LinuxPlayer(13,172.28.0.12) [Debug] 0 [PackageName] LinuxPlayer [ProjectName] UnityEnvironment" to [225.0.0.222:54997]...
5
+ Preloaded 'lib_burst_generated.so'
6
+ Preloaded 'libgrpc_csharp_ext.x64.so'
7
+ PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies
8
+ PlayerPrefs - Creating folder: /root/.config/unity3d/Unity Technologies/UnityEnvironment
9
+ Unable to load player prefs
10
+ Initialize engine version: 2021.3.5f1 (40eb3a945986)
11
+ [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/UnitySubsystems
12
+ Forcing GfxDevice: Null
13
+ GfxDevice: creating device client; threaded=0; jobified=0
14
+ NullGfxDevice:
15
+ Version: NULL 1.0 [1.0]
16
+ Renderer: Null Device
17
+ Vendor: Unity Technologies
18
+ ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
19
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
20
+ ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
21
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
22
+ ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
23
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
24
+ ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
25
+ ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
26
+ FMOD failed to initialize the output device.: "Error initializing output device. " (60)
27
+ Forced to initialize FMOD to to the device driver's system output rate 48000, this may impact performance and/or give inconsistent experiences compared to selected sample rate 48000
28
+ ALSA lib confmisc.c:855:(parse_card) cannot find card '0'
29
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_card_inum returned error: No such file or directory
30
+ ALSA lib confmisc.c:422:(snd_func_concat) error evaluating strings
31
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
32
+ ALSA lib confmisc.c:1334:(snd_func_refer) error evaluating name
33
+ ALSA lib conf.c:5178:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
34
+ ALSA lib conf.c:5701:(snd_config_expand) Evaluate error: No such file or directory
35
+ ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
36
+ FMOD failed to initialize the output device.: "Error initializing output device. " (60)
37
+ FMOD initialized on nosound output
38
+ Begin MonoManager ReloadAssembly
39
+ - Completed reload, in 0.093 seconds
40
+ ERROR: Shader Sprites/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
41
+ ERROR: Shader Sprites/Mask shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
42
+ ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
43
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
44
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
45
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
46
+ ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
47
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
48
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
49
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
50
+ WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - All subshaders removed
51
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
52
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
53
+ ERROR: Shader Legacy Shaders/Diffuse shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
54
+ WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - All subshaders removed
55
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
56
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
57
+ WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - All subshaders removed
58
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
59
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
60
+ ERROR: Shader ML-Agents/GridPattern shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
61
+ WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - All subshaders removed
62
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
63
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
64
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
65
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
66
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
67
+ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
68
+ WARNING: Shader Unsupported: 'Standard' - All subshaders removed
69
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
70
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
71
+ UnloadTime: 0.739650 ms
72
+ ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
73
+ requesting resize 84 x 84
74
+ Setting up 1 worker threads for Enlighten.
75
+ PlayerConnection::CleanupMemory Statistics:
76
+ [ALLOC_TEMP_TLS] TLS Allocator
77
+ StackAllocators :
78
+ [ALLOC_TEMP_MAIN]
79
+ Peak usage frame count: [16.0 KB-32.0 KB]: 8214 frames, [32.0 KB-64.0 KB]: 8552 frames, [64.0 KB-128.0 KB]: 2000 frames, [2.0 MB-4.0 MB]: 1 frames
80
+ Initial Block Size 4.0 MB
81
+ Current Block Size 4.0 MB
82
+ Peak Allocated Bytes 2.0 MB
83
+ Overflow Count 0
84
+ [ALLOC_TEMP_Background Job.Worker 8]
85
+ Initial Block Size 32.0 KB
86
+ Current Block Size 32.0 KB
87
+ Peak Allocated Bytes 0 B
88
+ Overflow Count 0
89
+ [ALLOC_TEMP_Background Job.Worker 10]
90
+ Initial Block Size 32.0 KB
91
+ Current Block Size 32.0 KB
92
+ Peak Allocated Bytes 0 B
93
+ Overflow Count 0
94
+ [ALLOC_TEMP_Background Job.Worker 6]
95
+ Initial Block Size 32.0 KB
96
+ Current Block Size 32.0 KB
97
+ Peak Allocated Bytes 0 B
98
+ Overflow Count 0
99
+ [ALLOC_TEMP_AUDIO_FMOD mixer thread]
100
+ Initial Block Size 64.0 KB
101
+ Current Block Size 64.0 KB
102
+ Peak Allocated Bytes 0 B
103
+ Overflow Count 0
104
+ [ALLOC_TEMP_Background Job.Worker 1]
105
+ Initial Block Size 32.0 KB
106
+ Current Block Size 32.0 KB
107
+ Peak Allocated Bytes 0 B
108
+ Overflow Count 0
109
+ [ALLOC_TEMP_Background Job.Worker 11]
110
+ Initial Block Size 32.0 KB
111
+ Current Block Size 32.0 KB
112
+ Peak Allocated Bytes 0 B
113
+ Overflow Count 0
114
+ [ALLOC_TEMP_Background Job.Worker 3]
115
+ Initial Block Size 32.0 KB
116
+ Current Block Size 32.0 KB
117
+ Peak Allocated Bytes 0 B
118
+ Overflow Count 0
119
+ [ALLOC_TEMP_BatchDeleteObjects]
120
+ Initial Block Size 64.0 KB
121
+ Current Block Size 64.0 KB
122
+ Peak Allocated Bytes 0 B
123
+ Overflow Count 0
124
+ [ALLOC_TEMP_AUDIO_FMOD stream thread]
125
+ Initial Block Size 64.0 KB
126
+ Current Block Size 64.0 KB
127
+ Peak Allocated Bytes 0 B
128
+ Overflow Count 0
129
+ [ALLOC_TEMP_Background Job.Worker 2]
130
+ Initial Block Size 32.0 KB
131
+ Current Block Size 32.0 KB
132
+ Peak Allocated Bytes 0 B
133
+ Overflow Count 0
134
+ [ALLOC_TEMP_Background Job.Worker 7]
135
+ Initial Block Size 32.0 KB
136
+ Current Block Size 32.0 KB
137
+ Peak Allocated Bytes 0 B
138
+ Overflow Count 0
139
+ [ALLOC_TEMP_Background Job.Worker 15]
140
+ Initial Block Size 32.0 KB
141
+ Current Block Size 32.0 KB
142
+ Peak Allocated Bytes 0 B
143
+ Overflow Count 0
144
+ [ALLOC_TEMP_Loading.PreloadManager]
145
+ Initial Block Size 256.0 KB
146
+ Current Block Size 320.0 KB
147
+ Peak Allocated Bytes 251.5 KB
148
+ Overflow Count 4
149
+ [ALLOC_TEMP_Profiler.Dispatcher]
150
+ Initial Block Size 64.0 KB
151
+ Current Block Size 64.0 KB
152
+ Peak Allocated Bytes 0 B
153
+ Overflow Count 0
154
+ [ALLOC_TEMP_Background Job.Worker 12]
155
+ Initial Block Size 32.0 KB
156
+ Current Block Size 32.0 KB
157
+ Peak Allocated Bytes 0 B
158
+ Overflow Count 0
159
+ [ALLOC_TEMP_AssetGarbageCollectorHelper]
160
+ Initial Block Size 64.0 KB
161
+ Current Block Size 64.0 KB
162
+ Peak Allocated Bytes 0 B
163
+ Overflow Count 0
164
+ [ALLOC_TEMP_Background Job.Worker 5]
165
+ Initial Block Size 32.0 KB
166
+ Current Block Size 32.0 KB
167
+ Peak Allocated Bytes 0 B
168
+ Overflow Count 0
169
+ [ALLOC_TEMP_Background Job.Worker 13]
170
+ Initial Block Size 32.0 KB
171
+ Current Block Size 32.0 KB
172
+ Peak Allocated Bytes 0 B
173
+ Overflow Count 0
174
+ [ALLOC_TEMP_Background Job.Worker 0]
175
+ Initial Block Size 32.0 KB
176
+ Current Block Size 32.0 KB
177
+ Peak Allocated Bytes 0 B
178
+ Overflow Count 0
179
+ [ALLOC_TEMP_Background Job.Worker 4]
180
+ Initial Block Size 32.0 KB
181
+ Current Block Size 32.0 KB
182
+ Peak Allocated Bytes 0 B
183
+ Overflow Count 0
184
+ [ALLOC_TEMP_Job.Worker 0]
185
+ Initial Block Size 256.0 KB
186
+ Current Block Size 256.0 KB
187
+ Peak Allocated Bytes 0.8 KB
188
+ Overflow Count 0
189
+ [ALLOC_TEMP_Background Job.Worker 14]
190
+ Initial Block Size 32.0 KB
191
+ Current Block Size 32.0 KB
192
+ Peak Allocated Bytes 0 B
193
+ Overflow Count 0
194
+ [ALLOC_TEMP_Background Job.Worker 9]
195
+ Initial Block Size 32.0 KB
196
+ Current Block Size 32.0 KB
197
+ Peak Allocated Bytes 0 B
198
+ Overflow Count 0
199
+ [ALLOC_TEMP_EnlightenWorker]
200
+ Initial Block Size 64.0 KB
201
+ Current Block Size 64.0 KB
202
+ Peak Allocated Bytes 0 B
203
+ Overflow Count 0
204
+ [ALLOC_TEMP_Loading.AsyncRead]
205
+ Initial Block Size 64.0 KB
206
+ Current Block Size 64.0 KB
207
+ Peak Allocated Bytes 128 B
208
+ Overflow Count 0
209
+ [ALLOC_MEMORYPROFILER]
210
+ Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 18468 frames
211
+ Requested Block Size 1.0 MB
212
+ Peak Block count 2
213
+ Peak Allocated memory 1.6 MB
214
+ Peak Large allocation bytes 0 B
215
+ [ALLOC_DEFAULT] Dual Thread Allocator
216
+ Peak main deferred allocation count 12291
217
+ [ALLOC_BUCKET]
218
+ Large Block size 4.0 MB
219
+ Used Block count 1
220
+ Peak Allocated bytes 1.7 MB
221
+ [ALLOC_DEFAULT_MAIN]
222
+ Peak usage frame count: [8.0 MB-16.0 MB]: 1 frames, [16.0 MB-32.0 MB]: 18766 frames
223
+ Requested Block Size 16.0 MB
224
+ Peak Block count 3
225
+ Peak Allocated memory 31.3 MB
226
+ Peak Large allocation bytes 0 B
227
+ [ALLOC_DEFAULT_THREAD]
228
+ Peak usage frame count: [16.0 MB-32.0 MB]: 18767 frames
229
+ Requested Block Size 16.0 MB
230
+ Peak Block count 1
231
+ Peak Allocated memory 22.3 MB
232
+ Peak Large allocation bytes 16.0 MB
233
+ [ALLOC_TEMP_JOB_1_FRAME]
234
+ Initial Block Size 2.0 MB
235
+ Used Block Count 1
236
+ Overflow Count (too large) 0
237
+ Overflow Count (full) 0
238
+ [ALLOC_TEMP_JOB_2_FRAMES]
239
+ Initial Block Size 2.0 MB
240
+ Used Block Count 1
241
+ Overflow Count (too large) 0
242
+ Overflow Count (full) 0
243
+ [ALLOC_TEMP_JOB_4_FRAMES (JobTemp)]
244
+ Initial Block Size 2.0 MB
245
+ Used Block Count 2
246
+ Overflow Count (too large) 0
247
+ Overflow Count (full) 0
248
+ [ALLOC_TEMP_JOB_ASYNC (Background)]
249
+ Initial Block Size 1.0 MB
250
+ Used Block Count 3
251
+ Overflow Count (too large) 0
252
+ Overflow Count (full) 0
253
+ [ALLOC_GFX] Dual Thread Allocator
254
+ Peak main deferred allocation count 0
255
+ [ALLOC_BUCKET]
256
+ Large Block size 4.0 MB
257
+ Used Block count 1
258
+ Peak Allocated bytes 1.7 MB
259
+ [ALLOC_GFX_MAIN]
260
+ Peak usage frame count: [32.0 KB-64.0 KB]: 18766 frames, [64.0 KB-128.0 KB]: 1 frames
261
+ Requested Block Size 16.0 MB
262
+ Peak Block count 1
263
+ Peak Allocated memory 67.0 KB
264
+ Peak Large allocation bytes 0 B
265
+ [ALLOC_GFX_THREAD]
266
+ Peak usage frame count: [64.0 KB-128.0 KB]: 18767 frames
267
+ Requested Block Size 16.0 MB
268
+ Peak Block count 1
269
+ Peak Allocated memory 67.7 KB
270
+ Peak Large allocation bytes 0 B
271
+ [ALLOC_CACHEOBJECTS] Dual Thread Allocator
272
+ Peak main deferred allocation count 1
273
+ [ALLOC_BUCKET]
274
+ Large Block size 4.0 MB
275
+ Used Block count 1
276
+ Peak Allocated bytes 1.7 MB
277
+ [ALLOC_CACHEOBJECTS_MAIN]
278
+ Peak usage frame count: [0.5 MB-1.0 MB]: 299 frames, [1.0 MB-2.0 MB]: 18468 frames
279
+ Requested Block Size 4.0 MB
280
+ Peak Block count 1
281
+ Peak Allocated memory 1.4 MB
282
+ Peak Large allocation bytes 0 B
283
+ [ALLOC_CACHEOBJECTS_THREAD]
284
+ Peak usage frame count: [1.0 MB-2.0 MB]: 18766 frames, [4.0 MB-8.0 MB]: 1 frames
285
+ Requested Block Size 4.0 MB
286
+ Peak Block count 2
287
+ Peak Allocated memory 4.7 MB
288
+ Peak Large allocation bytes 0 B
289
+ [ALLOC_TYPETREE] Dual Thread Allocator
290
+ Peak main deferred allocation count 0
291
+ [ALLOC_BUCKET]
292
+ Large Block size 4.0 MB
293
+ Used Block count 1
294
+ Peak Allocated bytes 1.7 MB
295
+ [ALLOC_TYPETREE_MAIN]
296
+ Peak usage frame count: [0-1.0 KB]: 18767 frames
297
+ Requested Block Size 2.0 MB
298
+ Peak Block count 1
299
+ Peak Allocated memory 1.0 KB
300
+ Peak Large allocation bytes 0 B
301
+ [ALLOC_TYPETREE_THREAD]
302
+ Peak usage frame count: [1.0 KB-2.0 KB]: 18767 frames
303
+ Requested Block Size 2.0 MB
304
+ Peak Block count 1
305
+ Peak Allocated memory 1.9 KB
306
+ Peak Large allocation bytes 0 B
307
+ [ALLOC_PROFILER]
308
+ Peak usage frame count: [16.0 KB-32.0 KB]: 18767 frames
309
+ Requested Block Size 16.0 MB
310
+ Peak Block count 1
311
+ Peak Allocated memory 29.2 KB
312
+ Peak Large allocation bytes 0 B
313
+ [ALLOC_PROFILER_BUCKET]
314
+ Large Block size 4.0 MB
315
+ Used Block count 1
316
+ Peak Allocated bytes 396 B
317
+ ##utp:{"type":"MemoryLeaks","version":2,"phase":"Immediate","time":1699468533910,"processId":9202,"allocatedMemory":1970133,"memoryLabels":[{"Default":9033},{"Permanent":1264},{"NewDelete":12801},{"Thread":34460},{"Manager":10603},{"VertexData":12},{"Geometry":280},{"Texture":16},{"Shader":69173},{"Material":24},{"GfxDevice":35248},{"Animation":304},{"Audio":3976},{"Physics":288},{"Serialization":216},{"Input":9176},{"JobScheduler":200},{"Mono":40},{"ScriptingNativeRuntime":216},{"BaseObject":1609212},{"Resource":592},{"Renderer":1936},{"Transform":48},{"File":800},{"WebCam":24},{"Culling":40},{"Terrain":953},{"Wind":24},{"String":3447},{"DynamicArray":30868},{"HashMap":7680},{"Utility":1360},{"PoolAlloc":1160},{"TypeTree":1792},{"ScriptManager":80},{"RuntimeInitializeOnLoadManager":72},{"SpriteAtlas":112},{"GI":3272},{"Unet":16},{"Director":7760},{"WebRequest":720},{"VR":45473},{"SceneManager":424},{"Video":32},{"LazyScriptCache":32},{"NativeArray":384},{"Camera":25},{"Secure":1},{"SerializationCache":624},{"APIUpdating":5872},{"Subsystems":384},{"VirtualTexturing":57552},{"AssetReference":32}]}
run_logs/timers.json ADDED
@@ -0,0 +1,398 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "Pyramids.Policy.Entropy.mean": {
5
+ "value": 0.6582197546958923,
6
+ "min": 0.6582197546958923,
7
+ "max": 1.4857103824615479,
8
+ "count": 33
9
+ },
10
+ "Pyramids.Policy.Entropy.sum": {
11
+ "value": 19778.1875,
12
+ "min": 19778.1875,
13
+ "max": 45070.51171875,
14
+ "count": 33
15
+ },
16
+ "Pyramids.Step.mean": {
17
+ "value": 989968.0,
18
+ "min": 29952.0,
19
+ "max": 989968.0,
20
+ "count": 33
21
+ },
22
+ "Pyramids.Step.sum": {
23
+ "value": 989968.0,
24
+ "min": 29952.0,
25
+ "max": 989968.0,
26
+ "count": 33
27
+ },
28
+ "Pyramids.Policy.ExtrinsicValueEstimate.mean": {
29
+ "value": 0.34232568740844727,
30
+ "min": -0.21555005013942719,
31
+ "max": 0.4189187288284302,
32
+ "count": 33
33
+ },
34
+ "Pyramids.Policy.ExtrinsicValueEstimate.sum": {
35
+ "value": 89.6893310546875,
36
+ "min": -51.08536148071289,
37
+ "max": 112.27021789550781,
38
+ "count": 33
39
+ },
40
+ "Pyramids.Policy.RndValueEstimate.mean": {
41
+ "value": 0.00566603010520339,
42
+ "min": -0.002149995882064104,
43
+ "max": 0.2953774631023407,
44
+ "count": 33
45
+ },
46
+ "Pyramids.Policy.RndValueEstimate.sum": {
47
+ "value": 1.4844999313354492,
48
+ "min": -0.5697489380836487,
49
+ "max": 70.00445556640625,
50
+ "count": 33
51
+ },
52
+ "Pyramids.Losses.PolicyLoss.mean": {
53
+ "value": 0.06853258555998938,
54
+ "min": 0.06531036150582398,
55
+ "max": 0.07275970583852011,
56
+ "count": 33
57
+ },
58
+ "Pyramids.Losses.PolicyLoss.sum": {
59
+ "value": 0.9594561978398513,
60
+ "min": 0.49417190839858977,
61
+ "max": 1.0340315212048226,
62
+ "count": 33
63
+ },
64
+ "Pyramids.Losses.ValueLoss.mean": {
65
+ "value": 0.011694101730556997,
66
+ "min": 0.0001747867651937809,
67
+ "max": 0.013626769085882895,
68
+ "count": 33
69
+ },
70
+ "Pyramids.Losses.ValueLoss.sum": {
71
+ "value": 0.16371742422779795,
72
+ "min": 0.0022722279475191516,
73
+ "max": 0.19077476720236053,
74
+ "count": 33
75
+ },
76
+ "Pyramids.Policy.LearningRate.mean": {
77
+ "value": 7.350590406978569e-06,
78
+ "min": 7.350590406978569e-06,
79
+ "max": 0.00029515063018788575,
80
+ "count": 33
81
+ },
82
+ "Pyramids.Policy.LearningRate.sum": {
83
+ "value": 0.00010290826569769996,
84
+ "min": 0.00010290826569769996,
85
+ "max": 0.0035073536308821993,
86
+ "count": 33
87
+ },
88
+ "Pyramids.Policy.Epsilon.mean": {
89
+ "value": 0.1024501642857143,
90
+ "min": 0.1024501642857143,
91
+ "max": 0.19838354285714285,
92
+ "count": 33
93
+ },
94
+ "Pyramids.Policy.Epsilon.sum": {
95
+ "value": 1.4343023000000001,
96
+ "min": 1.3886848,
97
+ "max": 2.5691178000000003,
98
+ "count": 33
99
+ },
100
+ "Pyramids.Policy.Beta.mean": {
101
+ "value": 0.0002547714121428571,
102
+ "min": 0.0002547714121428571,
103
+ "max": 0.00983851593142857,
104
+ "count": 33
105
+ },
106
+ "Pyramids.Policy.Beta.sum": {
107
+ "value": 0.0035667997699999994,
108
+ "min": 0.0035667997699999994,
109
+ "max": 0.11693486821999999,
110
+ "count": 33
111
+ },
112
+ "Pyramids.Losses.RNDLoss.mean": {
113
+ "value": 0.009588450193405151,
114
+ "min": 0.009588450193405151,
115
+ "max": 0.3562386631965637,
116
+ "count": 33
117
+ },
118
+ "Pyramids.Losses.RNDLoss.sum": {
119
+ "value": 0.13423830270767212,
120
+ "min": 0.13423830270767212,
121
+ "max": 2.493670701980591,
122
+ "count": 33
123
+ },
124
+ "Pyramids.Environment.EpisodeLength.mean": {
125
+ "value": 482.42622950819674,
126
+ "min": 454.85074626865674,
127
+ "max": 999.0,
128
+ "count": 33
129
+ },
130
+ "Pyramids.Environment.EpisodeLength.sum": {
131
+ "value": 29428.0,
132
+ "min": 15984.0,
133
+ "max": 32992.0,
134
+ "count": 33
135
+ },
136
+ "Pyramids.Environment.CumulativeReward.mean": {
137
+ "value": 1.2551835816903192,
138
+ "min": -1.0000000521540642,
139
+ "max": 1.4555581845899126,
140
+ "count": 33
141
+ },
142
+ "Pyramids.Environment.CumulativeReward.sum": {
143
+ "value": 76.56619848310947,
144
+ "min": -31.99680168926716,
145
+ "max": 97.52239836752415,
146
+ "count": 33
147
+ },
148
+ "Pyramids.Policy.ExtrinsicReward.mean": {
149
+ "value": 1.2551835816903192,
150
+ "min": -1.0000000521540642,
151
+ "max": 1.4555581845899126,
152
+ "count": 33
153
+ },
154
+ "Pyramids.Policy.ExtrinsicReward.sum": {
155
+ "value": 76.56619848310947,
156
+ "min": -31.99680168926716,
157
+ "max": 97.52239836752415,
158
+ "count": 33
159
+ },
160
+ "Pyramids.Policy.RndReward.mean": {
161
+ "value": 0.04768418025303647,
162
+ "min": 0.0456898459311533,
163
+ "max": 7.947462385054678,
164
+ "count": 33
165
+ },
166
+ "Pyramids.Policy.RndReward.sum": {
167
+ "value": 2.908734995435225,
168
+ "min": 2.908734995435225,
169
+ "max": 127.15939816087484,
170
+ "count": 33
171
+ },
172
+ "Pyramids.IsTraining.mean": {
173
+ "value": 1.0,
174
+ "min": 1.0,
175
+ "max": 1.0,
176
+ "count": 33
177
+ },
178
+ "Pyramids.IsTraining.sum": {
179
+ "value": 1.0,
180
+ "min": 1.0,
181
+ "max": 1.0,
182
+ "count": 33
183
+ }
184
+ },
185
+ "metadata": {
186
+ "timer_format_version": "0.1.0",
187
+ "start_time_seconds": "1699466360",
188
+ "python_version": "3.10.12 (main, Jun 11 2023, 05:26:28) [GCC 11.4.0]",
189
+ "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/ppo/PyramidsRND.yaml --env=./training-envs-executables/linux/Pyramids/Pyramids --run-id=Pyramids Training --no-graphics",
190
+ "mlagents_version": "1.1.0.dev0",
191
+ "mlagents_envs_version": "1.1.0.dev0",
192
+ "communication_protocol_version": "1.5.0",
193
+ "pytorch_version": "2.1.0+cu118",
194
+ "numpy_version": "1.23.5",
195
+ "end_time_seconds": "1699468533"
196
+ },
197
+ "total": 2173.6519661160005,
198
+ "count": 1,
199
+ "self": 0.5765998490001039,
200
+ "children": {
201
+ "run_training.setup": {
202
+ "total": 0.040772619000108534,
203
+ "count": 1,
204
+ "self": 0.040772619000108534
205
+ },
206
+ "TrainerController.start_learning": {
207
+ "total": 2173.0345936480003,
208
+ "count": 1,
209
+ "self": 1.3792977400594282,
210
+ "children": {
211
+ "TrainerController._reset_env": {
212
+ "total": 3.4425388829999974,
213
+ "count": 1,
214
+ "self": 3.4425388829999974
215
+ },
216
+ "TrainerController.advance": {
217
+ "total": 2168.1375249099415,
218
+ "count": 63383,
219
+ "self": 1.4181992019557583,
220
+ "children": {
221
+ "env_step": {
222
+ "total": 1535.2488306299983,
223
+ "count": 63383,
224
+ "self": 1400.759572539032,
225
+ "children": {
226
+ "SubprocessEnvManager._take_step": {
227
+ "total": 133.6288033199903,
228
+ "count": 63383,
229
+ "self": 4.651064258031511,
230
+ "children": {
231
+ "TorchPolicy.evaluate": {
232
+ "total": 128.9777390619588,
233
+ "count": 62554,
234
+ "self": 128.9777390619588
235
+ }
236
+ }
237
+ },
238
+ "workers": {
239
+ "total": 0.8604547709760482,
240
+ "count": 63383,
241
+ "self": 0.0,
242
+ "children": {
243
+ "worker_root": {
244
+ "total": 2168.2852865001164,
245
+ "count": 63383,
246
+ "is_parallel": true,
247
+ "self": 888.7236655020965,
248
+ "children": {
249
+ "run_training.setup": {
250
+ "total": 0.0,
251
+ "count": 0,
252
+ "is_parallel": true,
253
+ "self": 0.0,
254
+ "children": {
255
+ "steps_from_proto": {
256
+ "total": 0.0023036030002003827,
257
+ "count": 1,
258
+ "is_parallel": true,
259
+ "self": 0.0010890640014622477,
260
+ "children": {
261
+ "_process_rank_one_or_two_observation": {
262
+ "total": 0.001214538998738135,
263
+ "count": 8,
264
+ "is_parallel": true,
265
+ "self": 0.001214538998738135
266
+ }
267
+ }
268
+ },
269
+ "UnityEnvironment.step": {
270
+ "total": 0.05155775299999732,
271
+ "count": 1,
272
+ "is_parallel": true,
273
+ "self": 0.0007745489997432742,
274
+ "children": {
275
+ "UnityEnvironment._generate_step_input": {
276
+ "total": 0.0005119410002407676,
277
+ "count": 1,
278
+ "is_parallel": true,
279
+ "self": 0.0005119410002407676
280
+ },
281
+ "communicator.exchange": {
282
+ "total": 0.04836888199997702,
283
+ "count": 1,
284
+ "is_parallel": true,
285
+ "self": 0.04836888199997702
286
+ },
287
+ "steps_from_proto": {
288
+ "total": 0.0019023810000362573,
289
+ "count": 1,
290
+ "is_parallel": true,
291
+ "self": 0.0003906789993379789,
292
+ "children": {
293
+ "_process_rank_one_or_two_observation": {
294
+ "total": 0.0015117020006982784,
295
+ "count": 8,
296
+ "is_parallel": true,
297
+ "self": 0.0015117020006982784
298
+ }
299
+ }
300
+ }
301
+ }
302
+ }
303
+ }
304
+ },
305
+ "UnityEnvironment.step": {
306
+ "total": 1279.5616209980199,
307
+ "count": 63382,
308
+ "is_parallel": true,
309
+ "self": 35.48726316592138,
310
+ "children": {
311
+ "UnityEnvironment._generate_step_input": {
312
+ "total": 26.061340590052623,
313
+ "count": 63382,
314
+ "is_parallel": true,
315
+ "self": 26.061340590052623
316
+ },
317
+ "communicator.exchange": {
318
+ "total": 1112.8768973930382,
319
+ "count": 63382,
320
+ "is_parallel": true,
321
+ "self": 1112.8768973930382
322
+ },
323
+ "steps_from_proto": {
324
+ "total": 105.13611984900763,
325
+ "count": 63382,
326
+ "is_parallel": true,
327
+ "self": 21.255029476914387,
328
+ "children": {
329
+ "_process_rank_one_or_two_observation": {
330
+ "total": 83.88109037209324,
331
+ "count": 507056,
332
+ "is_parallel": true,
333
+ "self": 83.88109037209324
334
+ }
335
+ }
336
+ }
337
+ }
338
+ }
339
+ }
340
+ }
341
+ }
342
+ }
343
+ }
344
+ },
345
+ "trainer_advance": {
346
+ "total": 631.4704950779874,
347
+ "count": 63383,
348
+ "self": 2.5765435710713973,
349
+ "children": {
350
+ "process_trajectory": {
351
+ "total": 125.80892255992376,
352
+ "count": 63383,
353
+ "self": 125.58306548792325,
354
+ "children": {
355
+ "RLTrainer._checkpoint": {
356
+ "total": 0.2258570720005082,
357
+ "count": 2,
358
+ "self": 0.2258570720005082
359
+ }
360
+ }
361
+ },
362
+ "_update_policy": {
363
+ "total": 503.0850289469922,
364
+ "count": 445,
365
+ "self": 297.5838996999855,
366
+ "children": {
367
+ "TorchPPOOptimizer.update": {
368
+ "total": 205.5011292470067,
369
+ "count": 22857,
370
+ "self": 205.5011292470067
371
+ }
372
+ }
373
+ }
374
+ }
375
+ }
376
+ }
377
+ },
378
+ "trainer_threads": {
379
+ "total": 1.065999640559312e-06,
380
+ "count": 1,
381
+ "self": 1.065999640559312e-06
382
+ },
383
+ "TrainerController._save_models": {
384
+ "total": 0.07523104899973987,
385
+ "count": 1,
386
+ "self": 0.0014802519999648212,
387
+ "children": {
388
+ "RLTrainer._checkpoint": {
389
+ "total": 0.07375079699977505,
390
+ "count": 1,
391
+ "self": 0.07375079699977505
392
+ }
393
+ }
394
+ }
395
+ }
396
+ }
397
+ }
398
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "Pyramids": {
3
+ "checkpoints": [
4
+ {
5
+ "steps": 499905,
6
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-499905.onnx",
7
+ "reward": null,
8
+ "creation_time": 1699467378.6145327,
9
+ "auxillary_file_paths": [
10
+ "results/Pyramids Training/Pyramids/Pyramids-499905.pt"
11
+ ]
12
+ },
13
+ {
14
+ "steps": 999875,
15
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-999875.onnx",
16
+ "reward": 1.2989999800920486,
17
+ "creation_time": 1699468533.3024113,
18
+ "auxillary_file_paths": [
19
+ "results/Pyramids Training/Pyramids/Pyramids-999875.pt"
20
+ ]
21
+ },
22
+ {
23
+ "steps": 1000003,
24
+ "file_path": "results/Pyramids Training/Pyramids/Pyramids-1000003.onnx",
25
+ "reward": 1.2989999800920486,
26
+ "creation_time": 1699468533.3897202,
27
+ "auxillary_file_paths": [
28
+ "results/Pyramids Training/Pyramids/Pyramids-1000003.pt"
29
+ ]
30
+ }
31
+ ],
32
+ "final_checkpoint": {
33
+ "steps": 1000003,
34
+ "file_path": "results/Pyramids Training/Pyramids.onnx",
35
+ "reward": 1.2989999800920486,
36
+ "creation_time": 1699468533.3897202,
37
+ "auxillary_file_paths": [
38
+ "results/Pyramids Training/Pyramids/Pyramids-1000003.pt"
39
+ ]
40
+ }
41
+ },
42
+ "metadata": {
43
+ "stats_format_version": "0.3.0",
44
+ "mlagents_version": "1.1.0.dev0",
45
+ "torch_version": "2.1.0+cu118"
46
+ }
47
+ }