DContrerasF commited on
Commit
1f3eb2f
1 Parent(s): dcc51e4

Push agent to the Hub

Browse files
README.md CHANGED
@@ -17,7 +17,7 @@ model-index:
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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- value: -168.99 +/- 78.20
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  name: mean_reward
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  verified: false
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  ---
@@ -31,31 +31,31 @@ model-index:
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  {'repo_id': 'DContrerasF/ppo-own-LunarLander-v2'
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  'exp_name': 'ppo'
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  'gym_id': 'LunarLander-v2'
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- 'learning_rate': 0.00025
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  'seed': 1
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- 'total_timesteps': 50000
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  'torch_deterministic': True
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  'cuda': True
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  'track': False
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  'wandb_project_name': 'DeepRL'
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  'wandb_entity': None
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  'capture_video': False
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- 'num_envs': 4
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- 'num_steps': 128
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  'anneal_lr': True
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  'gae': True
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- 'gamma': 0.99
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- 'gae_lambda': 0.95
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  'num_minibatches': 4
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  'update_epochs': 4
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  'norm_adv': True
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  'clip_coef': 0.2
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  'clip_vloss': True
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- 'ent_coef': 0.01
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  'vf_coef': 0.5
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  'max_grad_norm': 0.5
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  'target_kl': None
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- 'batch_size': 512
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- 'minibatch_size': 128}
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  ```
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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+ value: -31.80 +/- 97.97
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  name: mean_reward
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  verified: false
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  ---
 
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  {'repo_id': 'DContrerasF/ppo-own-LunarLander-v2'
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  'exp_name': 'ppo'
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  'gym_id': 'LunarLander-v2'
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+ 'learning_rate': 0.0005269970016124116
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  'seed': 1
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+ 'total_timesteps': 1000000
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  'torch_deterministic': True
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  'cuda': True
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  'track': False
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  'wandb_project_name': 'DeepRL'
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  'wandb_entity': None
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  'capture_video': False
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+ 'num_envs': 10
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+ 'num_steps': 2048
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  'anneal_lr': True
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  'gae': True
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+ 'gamma': 0.9951574251249592
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+ 'gae_lambda': 0.9195370888469532
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  'num_minibatches': 4
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  'update_epochs': 4
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  'norm_adv': True
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  'clip_coef': 0.2
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  'clip_vloss': True
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+ 'ent_coef': 0.0293151073593913
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  'vf_coef': 0.5
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  'max_grad_norm': 0.5
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  'target_kl': None
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+ 'batch_size': 20480
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+ 'minibatch_size': 5120}
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  ```
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replay.mp4 CHANGED
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results.json CHANGED
@@ -1 +1 @@
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- {"env_id": "LunarLander-v2", "mean_reward": -168.99409803589424, "std_reward": 78.20001037274169, "n_evaluation_episodes": 10, "eval_datetime": "2023-11-17T17:30:37.642899"}
 
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+ {"env_id": "LunarLander-v2", "mean_reward": -31.8035275145014, "std_reward": 97.9735209349942, "n_evaluation_episodes": 10, "eval_datetime": "2023-11-17T17:42:21.102517"}