rishipatel92 commited on
Commit
db9bdab
1 Parent(s): 424a341

Push agent to the Hub

Browse files
README.md CHANGED
@@ -1,10 +1,11 @@
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  ---
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- library_name: stable-baselines3
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  tags:
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  - LunarLander-v2
 
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  - deep-reinforcement-learning
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  - reinforcement-learning
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- - stable-baselines3
 
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  model-index:
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  - name: PPO
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  results:
@@ -16,22 +17,14 @@ 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: 261.05 +/- 21.86
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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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- using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
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- ## Usage (with Stable-baselines3)
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- TODO: Add your code
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-
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- ```python
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- from stable_baselines3 import ...
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- from huggingface_sb3 import load_from_hub
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-
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- ...
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- ```
 
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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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+ - custom-implementation
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+ - deep-rl-course
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  model-index:
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  - name: PPO
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  results:
 
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  type: LunarLander-v2
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  metrics:
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  - type: mean_reward
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+ value: -228.76 +/- 140.11
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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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+
 
 
 
 
 
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results.json CHANGED
@@ -1 +1 @@
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- {"mean_reward": 261.0453579956477, "std_reward": 21.862420395329863, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-12-25T12:48:26.081228"}
 
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+ {"env_id": "LunarLander-v2", "mean_reward": -228.7643680980609, "std_reward": 140.1060886793131, "n_evaluation_episodes": 10, "eval_datetime": "2023-03-10T03:58:47.291789"}