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README.md CHANGED
@@ -1,14 +1,14 @@
1
  ---
2
  library_name: ml-agents
3
  tags:
4
- - SnowballTarget
5
  - deep-reinforcement-learning
6
  - reinforcement-learning
7
- - 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:
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)
config.json CHANGED
@@ -1 +1 @@
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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
@@ -1,12 +1,12 @@
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  default_settings: null
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  behaviors:
3
- SnowballTarget:
4
  trainer_type: ppo
5
  hyperparameters:
6
  batch_size: 128
7
  buffer_size: 2048
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  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
@@ -14,10 +14,10 @@ behaviors:
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  network_settings:
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  num_layers: 2
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  vis_encode_type: simple
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@@ -35,17 +35,30 @@ behaviors:
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  goal_conditioning_type: hyper
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  deterministic: false
 
 
 
 
 
 
 
 
 
 
 
 
 
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- env_path: ./training-envs-executables/linux/SnowballTarget/SnowballTarget
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  resume: false
 
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  learning_rate: 0.0003
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+ beta: 0.01
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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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  epsilon_schedule: linear
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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
 
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  deterministic: false
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+ num_layers: 3
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+ vis_encode_type: simple
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+ memory: null
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+ deterministic: false
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+ learning_rate: 0.0001
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+ keep_checkpoints: 5
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+ summary_freq: 30000
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+ threaded: false
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+ env_path: ./training-envs-executables/linux/Pyramids/Pyramids
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  base_port: 5005
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  num_envs: 1
 
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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
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