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arshpareek
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ppo-SnowballTarget

Reinforcement Learning
ml-agents
TensorBoard
ONNX
SoccerTwos
deep-reinforcement-learning
ML-Agents-SoccerTwos
Model card Files Metrics Community
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Files changed (19) hide show
  1. README.md +4 -4
  2. SoccerTwos.onnx +3 -0
  3. SoccerTwos/SoccerTwos-0.onnx +3 -0
  4. SoccerTwos/SoccerTwos-0.pt +3 -0
  5. SoccerTwos/SoccerTwos-1001986.onnx +3 -0
  6. SoccerTwos/SoccerTwos-1001986.pt +3 -0
  7. SoccerTwos/SoccerTwos-231634.onnx +3 -0
  8. SoccerTwos/SoccerTwos-231634.pt +3 -0
  9. SoccerTwos/SoccerTwos-499118.onnx +3 -0
  10. SoccerTwos/SoccerTwos-499118.pt +3 -0
  11. SoccerTwos/SoccerTwos-999986.onnx +3 -0
  12. SoccerTwos/SoccerTwos-999986.pt +3 -0
  13. SoccerTwos/checkpoint.pt +3 -0
  14. SoccerTwos/events.out.tfevents.1699443425.5dcb74d24f49.23874.0 +3 -0
  15. config.json +1 -1
  16. configuration.yaml +23 -18
  17. run_logs/Player-0.log +480 -30
  18. run_logs/timers.json +294 -247
  19. run_logs/training_status.json +22 -39
README.md CHANGED
@@ -1,14 +1,14 @@
1
  ---
2
  library_name: ml-agents
3
  tags:
4
- - SnowballTarget
5
  - deep-reinforcement-learning
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  - reinforcement-learning
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- - ML-Agents-SnowballTarget
8
  ---
9
 
10
- # **ppo** Agent playing **SnowballTarget**
11
- This is a trained model of a **ppo** agent playing **SnowballTarget**
12
  using the [Unity ML-Agents Library](https://github.com/Unity-Technologies/ml-agents).
13
 
14
  ## Usage (with ML-Agents)
 
1
  ---
2
  library_name: ml-agents
3
  tags:
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+ - SoccerTwos
5
  - deep-reinforcement-learning
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  - reinforcement-learning
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+ - 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)
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config.json CHANGED
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- {"default_settings": null, "behaviors": {"SnowballTarget": {"trainer_type": "ppo", "hyperparameters": {"batch_size": 128, "buffer_size": 2048, "learning_rate": 0.0003, "beta": 0.005, "epsilon": 0.2, "lambd": 0.95, "num_epoch": 3, "shared_critic": false, "learning_rate_schedule": "linear", "beta_schedule": "linear", "epsilon_schedule": "linear"}, "checkpoint_interval": 50000, "network_settings": {"normalize": false, "hidden_units": 256, "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": 10, "even_checkpoints": false, "max_steps": 200000, "time_horizon": 64, "summary_freq": 10000, "threaded": true, "self_play": null, "behavioral_cloning": null}}, "env_settings": {"env_path": "./training-envs-executables/linux/SnowballTarget/SnowballTarget", "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": "SnowballTarget1", "initialize_from": null, "load_model": false, "resume": false, "force": false, "train_model": false, "inference": false, "results_dir": "results"}, "torch_settings": {"device": null}, "debug": false}
 
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configuration.yaml CHANGED
@@ -1,23 +1,22 @@
1
  default_settings: null
2
  behaviors:
3
- SnowballTarget:
4
- trainer_type: ppo
5
  hyperparameters:
6
- batch_size: 128
7
- buffer_size: 2048
8
  learning_rate: 0.0003
9
  beta: 0.005
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  epsilon: 0.2
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  lambd: 0.95
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  num_epoch: 3
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- shared_critic: false
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- learning_rate_schedule: linear
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- beta_schedule: linear
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- epsilon_schedule: linear
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- checkpoint_interval: 50000
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  network_settings:
19
  normalize: false
20
- hidden_units: 256
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  num_layers: 2
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  vis_encode_type: simple
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  memory: null
@@ -36,16 +35,22 @@ behaviors:
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  goal_conditioning_type: hyper
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  deterministic: false
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  init_path: null
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- keep_checkpoints: 10
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  even_checkpoints: false
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- max_steps: 200000
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- time_horizon: 64
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  summary_freq: 10000
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- threaded: true
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- self_play: null
 
 
 
 
 
 
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  behavioral_cloning: null
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  env_settings:
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- env_path: ./training-envs-executables/linux/SnowballTarget/SnowballTarget
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  env_args: null
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  base_port: 5005
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  num_envs: 1
@@ -65,11 +70,11 @@ engine_settings:
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  no_graphics: true
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  environment_parameters: null
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  checkpoint_settings:
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- run_id: SnowballTarget1
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  initialize_from: null
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  load_model: false
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  resume: false
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- force: false
73
  train_model: false
74
  inference: false
75
  results_dir: results
 
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  default_settings: null
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  behaviors:
3
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+ trainer_type: poca
5
  hyperparameters:
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+ batch_size: 2048
7
+ buffer_size: 20480
8
  learning_rate: 0.0003
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  beta: 0.005
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  epsilon: 0.2
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  lambd: 0.95
12
  num_epoch: 3
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+ learning_rate_schedule: constant
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+ beta_schedule: constant
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+ epsilon_schedule: constant
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+ checkpoint_interval: 500000
 
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  network_settings:
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  normalize: false
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+ hidden_units: 512
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  num_layers: 2
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  vis_encode_type: simple
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  memory: null
 
35
  goal_conditioning_type: hyper
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  deterministic: false
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  init_path: null
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  even_checkpoints: false
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+ time_horizon: 1000
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  summary_freq: 10000
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+ threaded: false
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+ self_play:
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+ 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: /content/ml-agents/training-envs-executables/linux/SoccerTwos
54
  env_args: null
55
  base_port: 5005
56
  num_envs: 1
 
70
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72
  checkpoint_settings:
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+ run_id: SoccerTwos
74
  initialize_from: null
75
  load_model: false
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  resume: false
77
+ force: true
78
  train_model: false
79
  inference: false
80
  results_dir: results
run_logs/Player-0.log CHANGED
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+ ERROR: Shader Standard (Specular setup) shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
42
+ WARNING: Shader Unsupported: 'Standard (Specular setup)' - All subshaders removed
43
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
44
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
45
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
46
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
47
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
48
+ ERROR: Shader Autodesk Interactive shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
49
+ WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
50
+ WARNING: Shader Did you use #pragma only_renderers and omit this platform?
51
+ WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
52
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
53
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
54
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
 
56
  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
57
  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
58
  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
59
+ UnloadTime: 0.879396 ms
60
+ Registered Communicator in Agent.
61
  ERROR: Shader UI/Default shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
62
  requesting resize 84 x 84
63
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+ TOO LONG
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  Setting up 1 worker threads for Enlighten.
502
  Memory Statistics:
503
  [ALLOC_TEMP_TLS] TLS Allocator
504
  StackAllocators :
505
  [ALLOC_TEMP_MAIN]
506
+ Peak usage frame count: [8.0 KB-16.0 KB]: 19356 frames, [2.0 MB-4.0 MB]: 1 frames
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  Initial Block Size 4.0 MB
508
  Current Block Size 4.0 MB
509
+ Peak Allocated Bytes 2.1 MB
510
  Overflow Count 0
511
  [ALLOC_TEMP_Loading.AsyncRead]
512
  Initial Block Size 64.0 KB
513
  Current Block Size 64.0 KB
514
+ Peak Allocated Bytes 128 B
515
  Overflow Count 0
516
  [ALLOC_TEMP_Loading.PreloadManager]
517
  Initial Block Size 256.0 KB
518
+ Current Block Size 300.0 KB
519
+ Peak Allocated Bytes 249.6 KB
520
  Overflow Count 4
521
  [ALLOC_TEMP_Background Job.Worker 8]
522
  Initial Block Size 32.0 KB
 
531
  [ALLOC_TEMP_Job.Worker 0]
532
  Initial Block Size 256.0 KB
533
  Current Block Size 256.0 KB
534
+ Peak Allocated Bytes 0.7 KB
535
  Overflow Count 0
536
  [ALLOC_TEMP_Background Job.Worker 10]
537
  Initial Block Size 32.0 KB
 
619
  Peak Allocated Bytes 0 B
620
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621
  [ALLOC_DEFAULT] Dual Thread Allocator
622
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623
  [ALLOC_BUCKET]
624
  Large Block size 4.0 MB
625
  Used Block count 1
626
  Peak Allocated bytes 1.0 MB
627
  [ALLOC_DEFAULT_MAIN]
628
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629
  Requested Block Size 16.0 MB
630
  Peak Block count 1
631
+ Peak Allocated memory 4.6 MB
632
  Peak Large allocation bytes 0 B
633
  [ALLOC_DEFAULT_THREAD]
634
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636
  Peak Block count 1
637
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638
  Peak Large allocation bytes 16.0 MB
639
  [ALLOC_TEMP_JOB_1_FRAME]
640
  Initial Block Size 2.0 MB
 
663
  Used Block count 1
664
  Peak Allocated bytes 1.0 MB
665
  [ALLOC_GFX_MAIN]
666
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668
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670
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672
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  Peak Block count 1
675
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676
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677
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678
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681
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  Peak Allocated bytes 1.0 MB
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  [ALLOC_CACHEOBJECTS_MAIN]
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+ Peak Block count 2
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694
  Peak Large allocation bytes 0 B
695
  [ALLOC_TYPETREE] Dual Thread Allocator
696
  Peak main deferred allocation count 0
 
699
  Used Block count 1
700
  Peak Allocated bytes 1.0 MB
701
  [ALLOC_TYPETREE_MAIN]
702
+ Peak usage frame count: [0-1.0 KB]: 19357 frames
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  Peak Block count 1
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  Requested Block Size 2.0 MB
710
  Peak Block count 1
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+ Peak Allocated memory 2.2 KB
712
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