Trained SoccerTwos agent upload

README.md

@@ -0,0 +1,31 @@
+
+---
+      tags:
+      - unity-ml-agents
+      - ml-agents
+      - deep-reinforcement-learning
+      - reinforcement-learning
+      - ML-Agents-SoccerTwos
+      library_name: ml-agents
+---
+    
+  # **poca** Agent playing **SoccerTwos**
+  This is a trained model of a **poca** agent playing **SoccerTwos** using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
+  
+  ## Usage (with ML-Agents)
+  The Documentation: https://github.com/huggingface/ml-agents#get-started
+  We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
+
+
+  ### Resume the training
+  ```
+  mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
+  ```
+  ### Watch your Agent play
+  You can watch your agent **playing directly in your browser:**.
+  
+  1. Go to https://huggingface.co/spaces/unity/ML-Agents-SoccerTwos
+  2. Step 1: Write your model_id: akanametov/MLAgents-SoccerTwos
+  3. Step 2: Select your *.nn /*.onnx file
+  4. Click on Watch the agent play 👀
+  

SoccerTwos.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:631237d1d2ef4a263077f627c8aa1e4c014440d7fff6b2043cf566a0a97b120c
+size 1781689

SoccerTwos/SoccerTwos-1026228.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:631237d1d2ef4a263077f627c8aa1e4c014440d7fff6b2043cf566a0a97b120c
+size 1781689

SoccerTwos/SoccerTwos-1026228.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d79fa8f9fa863c75c209f6986229f3a249d7416be71d67f0f5da6e513f7eb903
+size 28590523

SoccerTwos/SoccerTwos-499114.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5184ff67e42c7034c5a75cd224d284dd6d4434e842c5214f3baca6daf6e6798c
+size 1781689

SoccerTwos/SoccerTwos-499114.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:01301570baea05e0c9b9b890f44f59af5238fdf1848529481c109190cc54119a
+size 28590523

SoccerTwos/SoccerTwos-999766.onnx

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d15b056d110fcbda462a2876bbe095d9b25036082e138e1083d3cd4ee1190db2
+size 1781689

SoccerTwos/SoccerTwos-999766.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5956f88fb001eabb7c4065189f621611f00b03a93a53ae86e099b7d050bbe745
+size 28590523

SoccerTwos/checkpoint.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d79fa8f9fa863c75c209f6986229f3a249d7416be71d67f0f5da6e513f7eb903
+size 28590523

SoccerTwos/events.out.tfevents.1673807871.697baef2d0c0.6167.0

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b2b22976af17e534828fa4100c11331e0eacbef85a84e20639b64d17ac9fa2f7
+size 545780

config.json

@@ -0,0 +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"}, "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, "checkpoint_interval": 500000, "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/linux/linux-x86_64/soccer-twos/soccer-twos", "env_args": null, "base_port": 5005, "num_envs": 1, "num_areas": 1, "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": "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

@@ -0,0 +1,81 @@
+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
+    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
+    checkpoint_interval: 500000
+    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/linux/linux-x86_64/soccer-twos/soccer-twos
+  env_args: null
+  base_port: 5005
+  num_envs: 1
+  num_areas: 1
+  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: 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

run_logs/Player-0.log

@@ -0,0 +1,59 @@
+Mono path[0] = '/content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Managed'
+Mono config path = '/content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/MonoBleedingEdge/etc'
+Preloaded 'lib_burst_generated.so'
+Preloaded 'libgrpc_csharp_ext.x64.so'
+Initialize engine version: 2019.4.30f1 (e8c891080a1f)
+[Subsystems] Discovering subsystems at path /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/UnitySubsystems
+Forcing GfxDevice: Null
+GfxDevice: creating device client; threaded=0
+NullGfxDevice:
+    Version:  NULL 1.0 [1.0]
+    Renderer: Null Device
+    Vendor:   Unity Technologies
+ALSA lib confmisc.c:767:(parse_card) cannot find card '0'
+ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_card_driver returned error: No such file or directory
+ALSA lib confmisc.c:392:(snd_func_concat) error evaluating strings
+ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
+ALSA lib confmisc.c:1246:(snd_func_refer) error evaluating name
+ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
+ALSA lib conf.c:5007:(snd_config_expand) Evaluate error: No such file or directory
+ALSA lib pcm.c:2495:(snd_pcm_open_noupdate) Unknown PCM default
+FMOD failed to initialize the output device.: "Error initializing output device. " (60) 
+(Filename:  Line: 1652)
+
+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 
+(Filename:  Line: 1588)
+
+ALSA lib confmisc.c:767:(parse_card) cannot find card '0'
+ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_card_driver returned error: No such file or directory
+ALSA lib confmisc.c:392:(snd_func_concat) error evaluating strings
+ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_concat returned error: No such file or directory
+ALSA lib confmisc.c:1246:(snd_func_refer) error evaluating name
+ALSA lib conf.c:4528:(_snd_config_evaluate) function snd_func_refer returned error: No such file or directory
+ALSA lib conf.c:5007:(snd_config_expand) Evaluate error: No such file or directory
+ALSA lib pcm.c:2495:(snd_pcm_open_noupdate) Unknown PCM default
+FMOD failed to initialize the output device.: "Error initializing output device. " (60) 
+(Filename:  Line: 1652)
+
+FMOD initialized on nosound output
+Begin MonoManager ReloadAssembly
+- Completed reload, in  0.067 seconds
+UnloadTime: 0.881175 ms
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libcoreclr.so
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libcoreclr.so
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libcoreclr.so
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libSystem.dylib
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libSystem.dylib.so
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libSystem.dylib
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libcoreclr.so
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libcoreclr.so
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libcoreclr.so
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libSystem.dylib
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libSystem.dylib.so
+Fallback handler could not load library /content/ml-agents/./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos_Data/Mono/libSystem.dylib
+EnvConfigurationChannel is set up. 
+(Filename: ./Runtime/Export/Debug/Debug.bindings.h Line: 39)
+
+requesting resize 84 x 84
+Setting up 1 worker threads for Enlighten.
+  Thread -> id: 7fa63cbfa700 -> priority: 1 

run_logs/timers.json

@@ -0,0 +1,431 @@
+{
+    "name": "root",
+    "gauges": {
+        "SoccerTwos.Policy.Entropy.mean": {
+            "value": 3.1996026039123535,
+            "min": 2.9278101921081543,
+            "max": 3.2722084522247314,
+            "count": 102
+        },
+        "SoccerTwos.Policy.Entropy.sum": {
+            "value": 62328.2578125,
+            "min": 49968.30078125,
+            "max": 74948.84375,
+            "count": 102
+        },
+        "SoccerTwos.Environment.EpisodeLength.mean": {
+            "value": 810.6666666666666,
+            "min": 531.6666666666666,
+            "max": 999.0,
+            "count": 102
+        },
+        "SoccerTwos.Environment.EpisodeLength.sum": {
+            "value": 19456.0,
+            "min": 16516.0,
+            "max": 23324.0,
+            "count": 102
+        },
+        "SoccerTwos.Self-play.ELO.mean": {
+            "value": 1204.0218902996917,
+            "min": 1199.5028730369677,
+            "max": 1210.6164886930674,
+            "count": 69
+        },
+        "SoccerTwos.Self-play.ELO.sum": {
+            "value": 4816.087561198767,
+            "min": 2400.4997554563024,
+            "max": 14461.67778818551,
+            "count": 69
+        },
+        "SoccerTwos.Step.mean": {
+            "value": 1019052.0,
+            "min": 9478.0,
+            "max": 1019052.0,
+            "count": 102
+        },
+        "SoccerTwos.Step.sum": {
+            "value": 1019052.0,
+            "min": 9478.0,
+            "max": 1019052.0,
+            "count": 102
+        },
+        "SoccerTwos.Policy.ExtrinsicBaselineEstimate.mean": {
+            "value": 0.020359380170702934,
+            "min": -0.03247058019042015,
+            "max": 0.0642065554857254,
+            "count": 102
+        },
+        "SoccerTwos.Policy.ExtrinsicBaselineEstimate.sum": {
+            "value": 0.24431255459785461,
+            "min": -0.42885616421699524,
+            "max": 0.8988363742828369,
+            "count": 102
+        },
+        "SoccerTwos.Policy.ExtrinsicValueEstimate.mean": {
+            "value": 0.018934523686766624,
+            "min": -0.044129129499197006,
+            "max": 0.06423702090978622,
+            "count": 102
+        },
+        "SoccerTwos.Policy.ExtrinsicValueEstimate.sum": {
+            "value": 0.2272142916917801,
+            "min": -0.48542043566703796,
+            "max": 0.8992221355438232,
+            "count": 102
+        },
+        "SoccerTwos.Environment.CumulativeReward.mean": {
+            "value": 0.0,
+            "min": 0.0,
+            "max": 0.0,
+            "count": 102
+        },
+        "SoccerTwos.Environment.CumulativeReward.sum": {
+            "value": 0.0,
+            "min": 0.0,
+            "max": 0.0,
+            "count": 102
+        },
+        "SoccerTwos.Policy.ExtrinsicReward.mean": {
+            "value": -0.14220000058412552,
+            "min": -0.5333333333333333,
+            "max": 0.3313599983851115,
+            "count": 102
+        },
+        "SoccerTwos.Policy.ExtrinsicReward.sum": {
+            "value": -1.7064000070095062,
+            "min": -8.0,
+            "max": 5.485599935054779,
+            "count": 102
+        },
+        "SoccerTwos.Environment.GroupCumulativeReward.mean": {
+            "value": -0.14220000058412552,
+            "min": -0.5333333333333333,
+            "max": 0.3313599983851115,
+            "count": 102
+        },
+        "SoccerTwos.Environment.GroupCumulativeReward.sum": {
+            "value": -1.7064000070095062,
+            "min": -8.0,
+            "max": 5.485599935054779,
+            "count": 102
+        },
+        "SoccerTwos.IsTraining.mean": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 102
+        },
+        "SoccerTwos.IsTraining.sum": {
+            "value": 1.0,
+            "min": 1.0,
+            "max": 1.0,
+            "count": 102
+        },
+        "SoccerTwos.Losses.PolicyLoss.mean": {
+            "value": 0.017422009384851358,
+            "min": 0.013289852785722664,
+            "max": 0.021624805549314865,
+            "count": 47
+        },
+        "SoccerTwos.Losses.PolicyLoss.sum": {
+            "value": 0.017422009384851358,
+            "min": 0.013289852785722664,
+            "max": 0.021624805549314865,
+            "count": 47
+        },
+        "SoccerTwos.Losses.ValueLoss.mean": {
+            "value": 0.0021655489845822254,
+            "min": 2.518433211662341e-06,
+            "max": 0.006047092261724174,
+            "count": 47
+        },
+        "SoccerTwos.Losses.ValueLoss.sum": {
+            "value": 0.0021655489845822254,
+            "min": 2.518433211662341e-06,
+            "max": 0.006047092261724174,
+            "count": 47
+        },
+        "SoccerTwos.Losses.BaselineLoss.mean": {
+            "value": 0.002190248357752959,
+            "min": 3.3172456975686753e-06,
+            "max": 0.00505002357531339,
+            "count": 47
+        },
+        "SoccerTwos.Losses.BaselineLoss.sum": {
+            "value": 0.002190248357752959,
+            "min": 3.3172456975686753e-06,
+            "max": 0.00505002357531339,
+            "count": 47
+        },
+        "SoccerTwos.Policy.LearningRate.mean": {
+            "value": 0.0003,
+            "min": 0.0003,
+            "max": 0.0003,
+            "count": 47
+        },
+        "SoccerTwos.Policy.LearningRate.sum": {
+            "value": 0.0003,
+            "min": 0.0003,
+            "max": 0.0003,
+            "count": 47
+        },
+        "SoccerTwos.Policy.Epsilon.mean": {
+            "value": 0.20000000000000007,
+            "min": 0.20000000000000007,
+            "max": 0.20000000000000007,
+            "count": 47
+        },
+        "SoccerTwos.Policy.Epsilon.sum": {
+            "value": 0.20000000000000007,
+            "min": 0.20000000000000007,
+            "max": 0.20000000000000007,
+            "count": 47
+        },
+        "SoccerTwos.Policy.Beta.mean": {
+            "value": 0.005000000000000001,
+            "min": 0.005000000000000001,
+            "max": 0.005000000000000001,
+            "count": 47
+        },
+        "SoccerTwos.Policy.Beta.sum": {
+            "value": 0.005000000000000001,
+            "min": 0.005000000000000001,
+            "max": 0.005000000000000001,
+            "count": 47
+        }
+    },
+    "metadata": {
+        "timer_format_version": "0.1.0",
+        "start_time_seconds": "1673807868",
+        "python_version": "3.8.16 (default, Dec  7 2022, 01:12:13) \n[GCC 7.5.0]",
+        "command_line_arguments": "/usr/local/bin/mlagents-learn ./config/poca/SoccerTwos.yaml --env=./training-envs-executables/linux/linux-x86_64/soccer-twos/soccer-twos --run-id=SoccerTwos --no-graphics",
+        "mlagents_version": "0.29.0.dev0",
+        "mlagents_envs_version": "0.29.0.dev0",
+        "communication_protocol_version": "1.5.0",
+        "pytorch_version": "1.8.1+cu102",
+        "numpy_version": "1.21.6",
+        "end_time_seconds": "1673814156"
+    },
+    "total": 6287.747221217,
+    "count": 1,
+    "self": 10.005318574998455,
+    "children": {
+        "run_training.setup": {
+            "total": 0.1071236590000808,
+            "count": 1,
+            "self": 0.1071236590000808
+        },
+        "TrainerController.start_learning": {
+            "total": 6277.634778983001,
+            "count": 1,
+            "self": 9.346853454097982,
+            "children": {
+                "TrainerController._reset_env": {
+                    "total": 6.287176204000843,
+                    "count": 6,
+                    "self": 6.287176204000843
+                },
+                "TrainerController.advance": {
+                    "total": 6261.662972145901,
+                    "count": 514320,
+                    "self": 9.436193643903607,
+                    "children": {
+                        "env_step": {
+                            "total": 5814.310632615159,
+                            "count": 514320,
+                            "self": 3150.765826409681,
+                            "children": {
+                                "SubprocessEnvManager._take_step": {
+                                    "total": 2657.5126975569865,
+                                    "count": 514320,
+                                    "self": 64.71362542510724,
+                                    "children": {
+                                        "TorchPolicy.evaluate": {
+                                            "total": 2592.7990721318793,
+                                            "count": 1027698,
+                                            "self": 521.0321252985041,
+                                            "children": {
+                                                "TorchPolicy.sample_actions": {
+                                                    "total": 2071.766946833375,
+                                                    "count": 1027698,
+                                                    "self": 2071.766946833375
+                                                }
+                                            }
+                                        }
+                                    }
+                                },
+                                "workers": {
+                                    "total": 6.032108648491885,
+                                    "count": 514319,
+                                    "self": 0.0,
+                                    "children": {
+                                        "worker_root": {
+                                            "total": 6249.836879560299,
+                                            "count": 514319,
+                                            "is_parallel": true,
+                                            "self": 3779.7106470330614,
+                                            "children": {
+                                                "run_training.setup": {
+                                                    "total": 0.0,
+                                                    "count": 0,
+                                                    "is_parallel": true,
+                                                    "self": 0.0,
+                                                    "children": {
+                                                        "steps_from_proto": {
+                                                            "total": 0.0017015900000387774,
+                                                            "count": 2,
+                                                            "is_parallel": true,
+                                                            "self": 0.000768551000419393,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 0.0009330389996193844,
+                                                                    "count": 12,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0009330389996193844
+                                                                }
+                                                            }
+                                                        },
+                                                        "UnityEnvironment.step": {
+                                                            "total": 0.026431305999949473,
+                                                            "count": 1,
+                                                            "is_parallel": true,
+                                                            "self": 0.0003021919997081568,
+                                                            "children": {
+                                                                "UnityEnvironment._generate_step_input": {
+                                                                    "total": 0.0002521020001040597,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0002521020001040597
+                                                                },
+                                                                "communicator.exchange": {
+                                                                    "total": 0.0243987260000722,
+                                                                    "count": 1,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0243987260000722
+                                                                },
+                                                                "steps_from_proto": {
+                                                                    "total": 0.0014782860000650544,
+                                                                    "count": 2,
+                                                                    "is_parallel": true,
+                                                                    "self": 0.0006566069998825697,
+                                                                    "children": {
+                                                                        "_process_rank_one_or_two_observation": {
+                                                                            "total": 0.0008216790001824847,
+                                                                            "count": 12,
+                                                                            "is_parallel": true,
+                                                                            "self": 0.0008216790001824847
+                                                                        }
+                                                                    }
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                },
+                                                "UnityEnvironment.step": {
+                                                    "total": 2470.121857965237,
+                                                    "count": 514318,
+                                                    "is_parallel": true,
+                                                    "self": 122.82167207231305,
+                                                    "children": {
+                                                        "UnityEnvironment._generate_step_input": {
+                                                            "total": 81.66833717314012,
+                                                            "count": 514318,
+                                                            "is_parallel": true,
+                                                            "self": 81.66833717314012
+                                                        },
+                                                        "communicator.exchange": {
+                                                            "total": 1582.744087071872,
+                                                            "count": 514318,
+                                                            "is_parallel": true,
+                                                            "self": 1582.744087071872
+                                                        },
+                                                        "steps_from_proto": {
+                                                            "total": 682.8877616479117,
+                                                            "count": 1028636,
+                                                            "is_parallel": true,
+                                                            "self": 295.6551202482824,
+                                                            "children": {
+                                                                "_process_rank_one_or_two_observation": {
+                                                                    "total": 387.2326413996293,
+                                                                    "count": 6171816,
+                                                                    "is_parallel": true,
+                                                                    "self": 387.2326413996293
+                                                                }
+                                                            }
+                                                        }
+                                                    }
+                                                },
+                                                "steps_from_proto": {
+                                                    "total": 0.004374562000975857,
+                                                    "count": 10,
+                                                    "is_parallel": true,
+                                                    "self": 0.0019437449996075884,
+                                                    "children": {
+                                                        "_process_rank_one_or_two_observation": {
+                                                            "total": 0.0024308170013682684,
+                                                            "count": 60,
+                                                            "is_parallel": true,
+                                                            "self": 0.0024308170013682684
+                                                        }
+                                                    }
+                                                }
+                                            }
+                                        }
+                                    }
+                                }
+                            }
+                        },
+                        "trainer_advance": {
+                            "total": 437.9161458868384,
+                            "count": 514319,
+                            "self": 27.845883952824124,
+                            "children": {
+                                "process_trajectory": {
+                                    "total": 119.94541229301785,
+                                    "count": 514319,
+                                    "self": 119.49111925601801,
+                                    "children": {
+                                        "RLTrainer._checkpoint": {
+                                            "total": 0.454293036999843,
+                                            "count": 2,
+                                            "self": 0.454293036999843
+                                        }
+                                    }
+                                },
+                                "_update_policy": {
+                                    "total": 290.12484964099644,
+                                    "count": 47,
+                                    "self": 180.0239040919996,
+                                    "children": {
+                                        "TorchPOCAOptimizer.update": {
+                                            "total": 110.10094554899683,
+                                            "count": 1410,
+                                            "self": 110.10094554899683
+                                        }
+                                    }
+                                }
+                            }
+                        }
+                    }
+                },
+                "trainer_threads": {
+                    "total": 1.3760000001639128e-06,
+                    "count": 1,
+                    "self": 1.3760000001639128e-06
+                },
+                "TrainerController._save_models": {
+                    "total": 0.33777580300011323,
+                    "count": 1,
+                    "self": 0.0021911399999225978,
+                    "children": {
+                        "RLTrainer._checkpoint": {
+                            "total": 0.33558466300019063,
+                            "count": 1,
+                            "self": 0.33558466300019063
+                        }
+                    }
+                }
+            }
+        }
+    }
+}

run_logs/training_status.json

@@ -0,0 +1,48 @@
+{
+    "SoccerTwos": {
+        "checkpoints": [
+            {
+                "steps": 499114,
+                "file_path": "results/SoccerTwos/SoccerTwos/SoccerTwos-499114.onnx",
+                "reward": 0.0,
+                "creation_time": 1673810931.2366776,
+                "auxillary_file_paths": [
+                    "results/SoccerTwos/SoccerTwos/SoccerTwos-499114.pt"
+                ]
+            },
+            {
+                "steps": 999766,
+                "file_path": "results/SoccerTwos/SoccerTwos/SoccerTwos-999766.onnx",
+                "reward": 0.0,
+                "creation_time": 1673813988.7482765,
+                "auxillary_file_paths": [
+                    "results/SoccerTwos/SoccerTwos/SoccerTwos-999766.pt"
+                ]
+            },
+            {
+                "steps": 1026228,
+                "file_path": "results/SoccerTwos/SoccerTwos/SoccerTwos-1026228.onnx",
+                "reward": 0.0,
+                "creation_time": 1673814146.275693,
+                "auxillary_file_paths": [
+                    "results/SoccerTwos/SoccerTwos/SoccerTwos-1026228.pt"
+                ]
+            }
+        ],
+        "elo": 1204.6475008961813,
+        "final_checkpoint": {
+            "steps": 1026228,
+            "file_path": "results/SoccerTwos/SoccerTwos.onnx",
+            "reward": 0.0,
+            "creation_time": 1673814146.275693,
+            "auxillary_file_paths": [
+                "results/SoccerTwos/SoccerTwos/SoccerTwos-1026228.pt"
+            ]
+        }
+    },
+    "metadata": {
+        "stats_format_version": "0.3.0",
+        "mlagents_version": "0.29.0.dev0",
+        "torch_version": "1.8.1+cu102"
+    }
+}