FabioDataGeek commited on
Commit
00ec760
·
1 Parent(s): 98eed1b

Push agent to the Hub

Browse files
README.md CHANGED
@@ -1,6 +1,6 @@
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  ---
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  tags:
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- - CartPole-v1
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  - ppo
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  - deep-reinforcement-learning
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  - reinforcement-learning
@@ -13,18 +13,18 @@ model-index:
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  type: reinforcement-learning
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  name: reinforcement-learning
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  dataset:
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- name: CartPole-v1
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- type: CartPole-v1
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  metrics:
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  - type: mean_reward
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- value: 64.60 +/- 27.55
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  name: mean_reward
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  verified: false
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  ---
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- # PPO Agent Playing CartPole-v1
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- This is a trained model of a PPO agent playing CartPole-v1.
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  # Hyperparameters
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  ```python
@@ -36,7 +36,7 @@ model-index:
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  'wandb_project_name': 'cleanRL'
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  'wandb_entity': None
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  'capture_video': False
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- 'env_id': 'CartPole-v1'
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  'total_timesteps': 100000
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  'learning_rate': 0.00025
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  'num_envs': 4
@@ -44,7 +44,7 @@ model-index:
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  'anneal_lr': True
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  'gae': True
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  'gamma': 0.999
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- 'gae_lambda': 0.99
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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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  ---
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  tags:
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+ - LunarLander-v2
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  - ppo
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  - deep-reinforcement-learning
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  - reinforcement-learning
 
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  type: reinforcement-learning
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  name: reinforcement-learning
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  dataset:
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+ name: LunarLander-v2
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+ type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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+ value: -132.77 +/- 74.31
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  name: mean_reward
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  verified: false
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  ---
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+ # PPO Agent Playing LunarLander-v2
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+ This is a trained model of a PPO agent playing LunarLander-v2.
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  # Hyperparameters
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  ```python
 
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  'wandb_project_name': 'cleanRL'
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  'wandb_entity': None
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  'capture_video': False
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+ 'env_id': 'LunarLander-v2'
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  'total_timesteps': 100000
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  'learning_rate': 0.00025
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  'num_envs': 4
 
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  'anneal_lr': True
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  'gae': True
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  'gamma': 0.999
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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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results.json CHANGED
@@ -1 +1 @@
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- {"env_id": "CartPole-v1", "mean_reward": 64.6, "std_reward": 27.547050658827345, "n_evaluation_episodes": 10, "eval_datetime": "2023-05-02T08:32:05.578145"}
 
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+ {"env_id": "LunarLander-v2", "mean_reward": -132.77144667518687, "std_reward": 74.30547591376975, "n_evaluation_episodes": 10, "eval_datetime": "2023-05-02T08:37:56.321547"}