svetaU commited on
Commit
f990c16
·
verified ·
1 Parent(s): 771edb7

Good model

Browse files
README.md CHANGED
@@ -1,14 +1,14 @@
1
  ---
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  library_name: ml-agents
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  tags:
4
- - Pyramids
5
  - deep-reinforcement-learning
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  - reinforcement-learning
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- - ML-Agents-Pyramids
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  ---
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)
 
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
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  ---
9
 
10
+ # **ppo** Agent playing **SnowballTarget**
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+ 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).
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  ## Usage (with ML-Agents)
config.json CHANGED
@@ -1 +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": 300000, "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, "no_graphics_monitor": false}, "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}
 
1
+ {"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, "no_graphics_monitor": false}, "environment_parameters": null, "checkpoint_settings": {"run_id": "SnowballTarget2", "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 CHANGED
@@ -1,12 +1,12 @@
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  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
@@ -14,10 +14,10 @@ behaviors:
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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: 500000
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  network_settings:
19
  normalize: false
20
- hidden_units: 512
21
  num_layers: 2
22
  vis_encode_type: simple
23
  memory: null
@@ -35,30 +35,17 @@ behaviors:
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  memory: null
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  goal_conditioning_type: hyper
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  deterministic: false
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- rnd:
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- gamma: 0.99
40
- strength: 0.01
41
- network_settings:
42
- normalize: false
43
- hidden_units: 64
44
- num_layers: 3
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- vis_encode_type: simple
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- memory: null
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- goal_conditioning_type: hyper
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- deterministic: false
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- learning_rate: 0.0001
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- encoding_size: null
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  init_path: null
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- keep_checkpoints: 5
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  even_checkpoints: false
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- max_steps: 300000
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- time_horizon: 128
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- summary_freq: 30000
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- threaded: false
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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/Pyramids/Pyramids
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  env_args: null
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  base_port: 5005
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  num_envs: 1
@@ -79,7 +66,7 @@ engine_settings:
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  no_graphics_monitor: false
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  environment_parameters: null
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  checkpoint_settings:
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- run_id: Pyramids Training
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  initialize_from: null
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  load_model: false
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  resume: false
 
1
  default_settings: null
2
  behaviors:
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+ SnowballTarget:
4
  trainer_type: ppo
5
  hyperparameters:
6
  batch_size: 128
7
  buffer_size: 2048
8
  learning_rate: 0.0003
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+ beta: 0.005
10
  epsilon: 0.2
11
  lambd: 0.95
12
  num_epoch: 3
 
14
  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:
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  normalize: false
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+ hidden_units: 256
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  num_layers: 2
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  vis_encode_type: simple
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  memory: null
 
35
  memory: null
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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
 
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  no_graphics_monitor: false
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  environment_parameters: null
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  checkpoint_settings:
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+ run_id: SnowballTarget2
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  initialize_from: null
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  load_model: false
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  resume: false
run_logs/Player-0.log CHANGED
@@ -1,14 +1,9 @@
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- Mono path[0] = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/Managed'
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- Mono config path = '/content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/MonoBleedingEdge/etc'
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- [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/Pyramids/Pyramids_Data/UnitySubsystems
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@@ -36,31 +31,10 @@ ALSA lib pcm.c:2664:(snd_pcm_open_noupdate) Unknown PCM default
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  ERROR: Shader Legacy Shaders/VertexLit shader is not supported on this GPU (none of subshaders/fallbacks are suitable)
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- WARNING: Shader Unsupported: 'Autodesk Interactive' - All subshaders removed
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- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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- WARNING: Shader Unsupported: 'Legacy Shaders/Diffuse' - All subshaders removed
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- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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- WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
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- WARNING: Shader Unsupported: 'ML-Agents/GridPattern' - All subshaders removed
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- WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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  WARNING: Shader If subshaders removal was intentional, you may have forgotten turning Fallback off?
@@ -68,60 +42,65 @@ ERROR: Shader Standard shader is not supported on this GPU (none of subshaders/f
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  WARNING: Shader Unsupported: 'Standard' - All subshaders removed
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  WARNING: Shader Did you use #pragma only_renderers and omit this platform?
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1
+ Mono path[0] = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/Managed'
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+ Mono config path = '/content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/MonoBleedingEdge/etc'
 
 
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  Preloaded 'libgrpc_csharp_ext.x64.so'
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+ Initialize engine version: 2021.3.14f1 (eee1884e7226)
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+ [Subsystems] Discovering subsystems at path /content/ml-agents/training-envs-executables/linux/SnowballTarget/SnowballTarget_Data/UnitySubsystems
 
 
 
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