Wajid333 commited on
Commit
8ebaa5a
1 Parent(s): e90f0c4

First Push`

Browse files
README.md ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: ml-agents
3
+ tags:
4
+ - SoccerTwos
5
+ - deep-reinforcement-learning
6
+ - reinforcement-learning
7
+ - ML-Agents-SoccerTwos
8
+ ---
9
+
10
+ # **poca** Agent playing **SoccerTwos**
11
+ This is a trained model of a **poca** agent playing **SoccerTwos**
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: Wajid333/poca-SoccerTwos
33
+ 3. Step 2: Select your *.nn /*.onnx file
34
+ 4. Click on Watch the agent play 👀
35
+
SoccerTwos.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c04dc29fa8193889b14a299d4dcf526cf34816eb279c8168f7d653151d72b5f2
3
+ size 1768747
SoccerTwos/SoccerTwos-28999152.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f627706d3104e655a1393f9f8d95317c5962839c3566b950819c8ac541bbad21
3
+ size 1768747
SoccerTwos/SoccerTwos-28999152.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3b30ac42718a3f8e9a5ab3034c5af14d4e67288572f43c453feae2ab09376c73
3
+ size 28430482
SoccerTwos/SoccerTwos-29499543.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9ddf8c3ba1eaf45b917911e6ffec7adfb27f7b71f6759da739f079207a61ab58
3
+ size 1768747
SoccerTwos/SoccerTwos-29499543.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7e2267692ebe6626c6deada096bc1d20906d2eb0f01cc6faec7725611ef85f01
3
+ size 28430482
SoccerTwos/SoccerTwos-29999352.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:634978034ee45fed24ab9072aac49dcb8b30ed4faee525a42ee1e8f9f9128c0e
3
+ size 1768747
SoccerTwos/SoccerTwos-29999352.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3345ece9497ec7f17afbdcf3d04d8c1ef604a68266b37f7df5fbeb73e22608e8
3
+ size 28430482
SoccerTwos/SoccerTwos-30499668.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c04dc29fa8193889b14a299d4dcf526cf34816eb279c8168f7d653151d72b5f2
3
+ size 1768747
SoccerTwos/SoccerTwos-30499668.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:73fbd069fd580cea72c05348475c1c52e478c4016029e08d9090fa823df73e29
3
+ size 28430482
SoccerTwos/SoccerTwos-30504668.onnx ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c04dc29fa8193889b14a299d4dcf526cf34816eb279c8168f7d653151d72b5f2
3
+ size 1768747
SoccerTwos/SoccerTwos-30504668.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:457e022838520d309678c630984e7ca260f995737371c236358a1467ea3bc375
3
+ size 28430482
SoccerTwos/checkpoint.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bb521bf1cb10c0bcf2b1adef356dfa51a9b74059b20fb4e3aefe44ada08d9559
3
+ size 28429366
SoccerTwos/events.out.tfevents.1707909207.DESKTOP-PCVNORB.7792.0 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ece8e6de33e5da84c13bb375d5df59bb58d2a2a35a6a98e10476e68e9a6d9573
3
+ size 7612627
config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"default_settings": null, "behaviors": {"SoccerTwos": {"trainer_type": "poca", "hyperparameters": {"batch_size": 2048, "buffer_size": 20480, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "learning_rate_schedule": "constant", "beta_schedule": "constant", "epsilon_schedule": "constant"}, "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}}}, "init_path": null, "keep_checkpoints": 5, "even_checkpoints": false, "max_steps": 50000000, "time_horizon": 1000, "summary_freq": 10000, "threaded": false, "self_play": {"save_steps": 50000, "team_change": 200000, "swap_steps": 2000, "window": 10, "play_against_latest_model_ratio": 0.5, "initial_elo": 1200.0}, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/SoccerTwos.exe", "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, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SoccerTwos", "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 +1,84 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ default_settings: null
2
+ behaviors:
3
+ SoccerTwos:
4
+ trainer_type: poca
5
+ hyperparameters:
6
+ batch_size: 2048
7
+ buffer_size: 20480
8
+ learning_rate: 0.0003
9
+ beta: 0.005
10
+ epsilon: 0.2
11
+ lambd: 0.95
12
+ num_epoch: 3
13
+ learning_rate_schedule: constant
14
+ beta_schedule: constant
15
+ epsilon_schedule: constant
16
+ checkpoint_interval: 500000
17
+ network_settings:
18
+ normalize: false
19
+ hidden_units: 512
20
+ num_layers: 2
21
+ vis_encode_type: simple
22
+ memory: null
23
+ goal_conditioning_type: hyper
24
+ deterministic: false
25
+ reward_signals:
26
+ extrinsic:
27
+ gamma: 0.99
28
+ strength: 1.0
29
+ network_settings:
30
+ normalize: false
31
+ hidden_units: 128
32
+ num_layers: 2
33
+ vis_encode_type: simple
34
+ memory: null
35
+ goal_conditioning_type: hyper
36
+ deterministic: false
37
+ init_path: null
38
+ keep_checkpoints: 5
39
+ even_checkpoints: false
40
+ max_steps: 50000000
41
+ time_horizon: 1000
42
+ summary_freq: 10000
43
+ threaded: false
44
+ self_play:
45
+ save_steps: 50000
46
+ team_change: 200000
47
+ swap_steps: 2000
48
+ window: 10
49
+ play_against_latest_model_ratio: 0.5
50
+ initial_elo: 1200.0
51
+ behavioral_cloning: null
52
+ env_settings:
53
+ env_path: ./training-envs-executables/SoccerTwos.exe
54
+ env_args: null
55
+ base_port: 5005
56
+ num_envs: 1
57
+ num_areas: 1
58
+ timeout_wait: 60
59
+ seed: -1
60
+ max_lifetime_restarts: 10
61
+ restarts_rate_limit_n: 1
62
+ restarts_rate_limit_period_s: 60
63
+ engine_settings:
64
+ width: 84
65
+ height: 84
66
+ quality_level: 5
67
+ time_scale: 20
68
+ target_frame_rate: -1
69
+ capture_frame_rate: 60
70
+ no_graphics: true
71
+ no_graphics_monitor: false
72
+ environment_parameters: null
73
+ checkpoint_settings:
74
+ run_id: SoccerTwos
75
+ initialize_from: null
76
+ load_model: false
77
+ resume: false
78
+ force: false
79
+ train_model: false
80
+ inference: false
81
+ results_dir: results
82
+ torch_settings:
83
+ device: null
84
+ debug: false
run_logs/Player-0.log ADDED
The diff for this file is too large to render. See raw diff
 
run_logs/timers.json ADDED
@@ -0,0 +1,368 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "name": "root",
3
+ "gauges": {
4
+ "SoccerTwos.Policy.Entropy.mean": {
5
+ "value": 3.1090173721313477,
6
+ "min": 1.9680967330932617,
7
+ "max": 3.2957119941711426,
8
+ "count": 3050
9
+ },
10
+ "SoccerTwos.Policy.Entropy.sum": {
11
+ "value": 69542.5,
12
+ "min": 7779.02392578125,
13
+ "max": 139825.21875,
14
+ "count": 3050
15
+ },
16
+ "SoccerTwos.Environment.EpisodeLength.mean": {
17
+ "value": 999.0,
18
+ "min": 432.09090909090907,
19
+ "max": 999.0,
20
+ "count": 3050
21
+ },
22
+ "SoccerTwos.Environment.EpisodeLength.sum": {
23
+ "value": 19980.0,
24
+ "min": 4212.0,
25
+ "max": 30640.0,
26
+ "count": 3050
27
+ },
28
+ "SoccerTwos.Self-play.ELO.mean": {
29
+ "value": 1106.394028371355,
30
+ "min": 1105.7761543980168,
31
+ "max": 1202.6779590037042,
32
+ "count": 834
33
+ },
34
+ "SoccerTwos.Self-play.ELO.sum": {
35
+ "value": 4425.57611348542,
36
+ "min": 2211.5523087960337,
37
+ "max": 16433.644009425647,
38
+ "count": 834
39
+ },
40
+ "SoccerTwos.Step.mean": {
41
+ "value": 30499668.0,
42
+ "min": 9338.0,
43
+ "max": 30499668.0,
44
+ "count": 3050
45
+ },
46
+ "SoccerTwos.Step.sum": {
47
+ "value": 30499668.0,
48
+ "min": 9338.0,
49
+ "max": 30499668.0,
50
+ "count": 3050
51
+ },
52
+ "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
53
+ "value": 0.001142252003774047,
54
+ "min": -0.06821022182703018,
55
+ "max": 0.029490983113646507,
56
+ "count": 3050
57
+ },
58
+ "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
59
+ "value": 0.011422519572079182,
60
+ "min": -1.023153305053711,
61
+ "max": 0.29490983486175537,
62
+ "count": 3050
63
+ },
64
+ "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
65
+ "value": 0.0011270389659330249,
66
+ "min": -0.06816212832927704,
67
+ "max": 0.026077916845679283,
68
+ "count": 3050
69
+ },
70
+ "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
71
+ "value": 0.011270389892160892,
72
+ "min": -1.0224319696426392,
73
+ "max": 0.26077917218208313,
74
+ "count": 3050
75
+ },
76
+ "SoccerTwos.Environment.CumulativeReward.mean": {
77
+ "value": 0.0,
78
+ "min": 0.0,
79
+ "max": 0.0,
80
+ "count": 3050
81
+ },
82
+ "SoccerTwos.Environment.CumulativeReward.sum": {
83
+ "value": 0.0,
84
+ "min": 0.0,
85
+ "max": 0.0,
86
+ "count": 3050
87
+ },
88
+ "SoccerTwos.Policy.ExtrinsicReward.mean": {
89
+ "value": 0.0,
90
+ "min": -0.7692307692307693,
91
+ "max": 0.3462000002463659,
92
+ "count": 3050
93
+ },
94
+ "SoccerTwos.Policy.ExtrinsicReward.sum": {
95
+ "value": 0.0,
96
+ "min": -10.307600021362305,
97
+ "max": 6.134799897670746,
98
+ "count": 3050
99
+ },
100
+ "SoccerTwos.Environment.GroupCumulativeReward.mean": {
101
+ "value": 0.0,
102
+ "min": -0.7692307692307693,
103
+ "max": 0.3462000002463659,
104
+ "count": 3050
105
+ },
106
+ "SoccerTwos.Environment.GroupCumulativeReward.sum": {
107
+ "value": 0.0,
108
+ "min": -10.307600021362305,
109
+ "max": 6.134799897670746,
110
+ "count": 3050
111
+ },
112
+ "SoccerTwos.IsTraining.mean": {
113
+ "value": 1.0,
114
+ "min": 1.0,
115
+ "max": 1.0,
116
+ "count": 3050
117
+ },
118
+ "SoccerTwos.IsTraining.sum": {
119
+ "value": 1.0,
120
+ "min": 1.0,
121
+ "max": 1.0,
122
+ "count": 3050
123
+ },
124
+ "SoccerTwos.Losses.PolicyLoss.mean": {
125
+ "value": 0.01199939750416282,
126
+ "min": 0.009683321138921504,
127
+ "max": 0.0247808082223249,
128
+ "count": 1405
129
+ },
130
+ "SoccerTwos.Losses.PolicyLoss.sum": {
131
+ "value": 0.01199939750416282,
132
+ "min": 0.009683321138921504,
133
+ "max": 0.0247808082223249,
134
+ "count": 1405
135
+ },
136
+ "SoccerTwos.Losses.ValueLoss.mean": {
137
+ "value": 1.6804577107620845e-08,
138
+ "min": 1.6066720870400175e-10,
139
+ "max": 0.024891944141461262,
140
+ "count": 1405
141
+ },
142
+ "SoccerTwos.Losses.ValueLoss.sum": {
143
+ "value": 1.6804577107620845e-08,
144
+ "min": 1.6066720870400175e-10,
145
+ "max": 0.024891944141461262,
146
+ "count": 1405
147
+ },
148
+ "SoccerTwos.Losses.BaselineLoss.mean": {
149
+ "value": 1.6932955807883825e-08,
150
+ "min": 1.881779200056203e-10,
151
+ "max": 0.025511121548364338,
152
+ "count": 1405
153
+ },
154
+ "SoccerTwos.Losses.BaselineLoss.sum": {
155
+ "value": 1.6932955807883825e-08,
156
+ "min": 1.881779200056203e-10,
157
+ "max": 0.025511121548364338,
158
+ "count": 1405
159
+ },
160
+ "SoccerTwos.Policy.LearningRate.mean": {
161
+ "value": 0.0003,
162
+ "min": 0.0003,
163
+ "max": 0.0003,
164
+ "count": 1405
165
+ },
166
+ "SoccerTwos.Policy.LearningRate.sum": {
167
+ "value": 0.0003,
168
+ "min": 0.0003,
169
+ "max": 0.0003,
170
+ "count": 1405
171
+ },
172
+ "SoccerTwos.Policy.Epsilon.mean": {
173
+ "value": 0.20000000000000007,
174
+ "min": 0.19999999999999996,
175
+ "max": 0.20000000000000007,
176
+ "count": 1405
177
+ },
178
+ "SoccerTwos.Policy.Epsilon.sum": {
179
+ "value": 0.20000000000000007,
180
+ "min": 0.19999999999999996,
181
+ "max": 0.20000000000000007,
182
+ "count": 1405
183
+ },
184
+ "SoccerTwos.Policy.Beta.mean": {
185
+ "value": 0.005000000000000001,
186
+ "min": 0.005,
187
+ "max": 0.005000000000000001,
188
+ "count": 1405
189
+ },
190
+ "SoccerTwos.Policy.Beta.sum": {
191
+ "value": 0.005000000000000001,
192
+ "min": 0.005,
193
+ "max": 0.005000000000000001,
194
+ "count": 1405
195
+ }
196
+ },
197
+ "metadata": {
198
+ "timer_format_version": "0.1.0",
199
+ "start_time_seconds": "1707909201",
200
+ "python_version": "3.10.12 | packaged by conda-forge | (main, Jun 23 2023, 22:34:57) [MSC v.1936 64 bit (AMD64)]",
201
+ "command_line_arguments": "\\\\?\\C:\\Users\\WajidIQBAL\\anaconda3\\envs\\rlll\\Scripts\\mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/SoccerTwos.exe --run-id=SoccerTwos --no-graphics",
202
+ "mlagents_version": "1.1.0.dev0",
203
+ "mlagents_envs_version": "1.1.0.dev0",
204
+ "communication_protocol_version": "1.5.0",
205
+ "pytorch_version": "2.2.0+cpu",
206
+ "numpy_version": "1.23.5",
207
+ "end_time_seconds": "1707970458"
208
+ },
209
+ "total": 61257.0453976,
210
+ "count": 1,
211
+ "self": 0.4663060000020778,
212
+ "children": {
213
+ "run_training.setup": {
214
+ "total": 0.05751190000000861,
215
+ "count": 1,
216
+ "self": 0.05751190000000861
217
+ },
218
+ "TrainerController.start_learning": {
219
+ "total": 61256.5215797,
220
+ "count": 1,
221
+ "self": 29.80428909652983,
222
+ "children": {
223
+ "TrainerController._reset_env": {
224
+ "total": 13.804234599957908,
225
+ "count": 152,
226
+ "self": 13.804234599957908
227
+ },
228
+ "TrainerController.advance": {
229
+ "total": 61212.81467410352,
230
+ "count": 1983824,
231
+ "self": 31.51725379947311,
232
+ "children": {
233
+ "env_step": {
234
+ "total": 20554.860432702186,
235
+ "count": 1983824,
236
+ "self": 16081.39585360005,
237
+ "children": {
238
+ "SubprocessEnvManager._take_step": {
239
+ "total": 4453.426088601476,
240
+ "count": 1983824,
241
+ "self": 183.04756110322342,
242
+ "children": {
243
+ "TorchPolicy.evaluate": {
244
+ "total": 4270.378527498253,
245
+ "count": 3941154,
246
+ "self": 4270.378527498253
247
+ }
248
+ }
249
+ },
250
+ "workers": {
251
+ "total": 20.038490500658554,
252
+ "count": 1983823,
253
+ "self": 0.0,
254
+ "children": {
255
+ "worker_root": {
256
+ "total": 61217.14689130344,
257
+ "count": 1983823,
258
+ "is_parallel": true,
259
+ "self": 48596.32925790934,
260
+ "children": {
261
+ "steps_from_proto": {
262
+ "total": 0.17005310006243235,
263
+ "count": 304,
264
+ "is_parallel": true,
265
+ "self": 0.031948700181146705,
266
+ "children": {
267
+ "_process_rank_one_or_two_observation": {
268
+ "total": 0.13810439988128564,
269
+ "count": 1216,
270
+ "is_parallel": true,
271
+ "self": 0.13810439988128564
272
+ }
273
+ }
274
+ },
275
+ "UnityEnvironment.step": {
276
+ "total": 12620.647580294037,
277
+ "count": 1983823,
278
+ "is_parallel": true,
279
+ "self": 748.5680125834697,
280
+ "children": {
281
+ "UnityEnvironment._generate_step_input": {
282
+ "total": 504.62159380177127,
283
+ "count": 1983823,
284
+ "is_parallel": true,
285
+ "self": 504.62159380177127
286
+ },
287
+ "communicator.exchange": {
288
+ "total": 9258.36415170342,
289
+ "count": 1983823,
290
+ "is_parallel": true,
291
+ "self": 9258.36415170342
292
+ },
293
+ "steps_from_proto": {
294
+ "total": 2109.0938222053783,
295
+ "count": 3967646,
296
+ "is_parallel": true,
297
+ "self": 388.4085669996657,
298
+ "children": {
299
+ "_process_rank_one_or_two_observation": {
300
+ "total": 1720.6852552057126,
301
+ "count": 15870584,
302
+ "is_parallel": true,
303
+ "self": 1720.6852552057126
304
+ }
305
+ }
306
+ }
307
+ }
308
+ }
309
+ }
310
+ }
311
+ }
312
+ }
313
+ }
314
+ },
315
+ "trainer_advance": {
316
+ "total": 40626.43698760187,
317
+ "count": 1983823,
318
+ "self": 241.9663722038531,
319
+ "children": {
320
+ "process_trajectory": {
321
+ "total": 3534.66847819801,
322
+ "count": 1983823,
323
+ "self": 3529.1874535979873,
324
+ "children": {
325
+ "RLTrainer._checkpoint": {
326
+ "total": 5.481024600022465,
327
+ "count": 61,
328
+ "self": 5.481024600022465
329
+ }
330
+ }
331
+ },
332
+ "_update_policy": {
333
+ "total": 36849.80213720001,
334
+ "count": 1405,
335
+ "self": 2789.5615048997497,
336
+ "children": {
337
+ "TorchPOCAOptimizer.update": {
338
+ "total": 34060.24063230026,
339
+ "count": 42165,
340
+ "self": 34060.24063230026
341
+ }
342
+ }
343
+ }
344
+ }
345
+ }
346
+ }
347
+ },
348
+ "trainer_threads": {
349
+ "total": 1.0999938240274787e-06,
350
+ "count": 1,
351
+ "self": 1.0999938240274787e-06
352
+ },
353
+ "TrainerController._save_models": {
354
+ "total": 0.09838079999462934,
355
+ "count": 1,
356
+ "self": 0.0073776999925030395,
357
+ "children": {
358
+ "RLTrainer._checkpoint": {
359
+ "total": 0.0910031000021263,
360
+ "count": 1,
361
+ "self": 0.0910031000021263
362
+ }
363
+ }
364
+ }
365
+ }
366
+ }
367
+ }
368
+ }
run_logs/training_status.json ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "SoccerTwos": {
3
+ "checkpoints": [
4
+ {
5
+ "steps": 28999152,
6
+ "file_path": "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-28999152.onnx",
7
+ "reward": 0.0,
8
+ "creation_time": 1707966345.4605298,
9
+ "auxillary_file_paths": [
10
+ "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-28999152.pt"
11
+ ]
12
+ },
13
+ {
14
+ "steps": 29499543,
15
+ "file_path": "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-29499543.onnx",
16
+ "reward": 0.0,
17
+ "creation_time": 1707967671.520455,
18
+ "auxillary_file_paths": [
19
+ "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-29499543.pt"
20
+ ]
21
+ },
22
+ {
23
+ "steps": 29999352,
24
+ "file_path": "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-29999352.onnx",
25
+ "reward": 0.0,
26
+ "creation_time": 1707969033.0221674,
27
+ "auxillary_file_paths": [
28
+ "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-29999352.pt"
29
+ ]
30
+ },
31
+ {
32
+ "steps": 30499668,
33
+ "file_path": "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-30499668.onnx",
34
+ "reward": 0.0,
35
+ "creation_time": 1707970454.8388364,
36
+ "auxillary_file_paths": [
37
+ "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-30499668.pt"
38
+ ]
39
+ },
40
+ {
41
+ "steps": 30504668,
42
+ "file_path": "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-30504668.onnx",
43
+ "reward": 0.0,
44
+ "creation_time": 1707970458.4303687,
45
+ "auxillary_file_paths": [
46
+ "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-30504668.pt"
47
+ ]
48
+ }
49
+ ],
50
+ "elo": 1106.8989734668996,
51
+ "final_checkpoint": {
52
+ "steps": 30504668,
53
+ "file_path": "results\\SoccerTwos\\SoccerTwos.onnx",
54
+ "reward": 0.0,
55
+ "creation_time": 1707970458.4303687,
56
+ "auxillary_file_paths": [
57
+ "results\\SoccerTwos\\SoccerTwos\\SoccerTwos-30504668.pt"
58
+ ]
59
+ }
60
+ },
61
+ "metadata": {
62
+ "stats_format_version": "0.3.0",
63
+ "mlagents_version": "1.1.0.dev0",
64
+ "torch_version": "2.2.0+cpu"
65
+ }
66
+ }