joshkaura commited on
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5477232
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1 Parent(s): 62dbceb

Upload PPO LunarLander-v2 trained agent

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Files changed (3) hide show
  1. README.md +6 -6
  2. ppo-LunarLander-v2.zip +1 -1
  3. results.json +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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  library_name: stable-baselines3
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  tags:
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- - LunarLander-v3
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  - deep-reinforcement-learning
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  - reinforcement-learning
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  - stable-baselines3
@@ -12,17 +12,17 @@ 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: LunarLander-v3
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- type: LunarLander-v3
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  metrics:
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  - type: mean_reward
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- value: 251.80 +/- 38.09
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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-v3**
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- This is a trained model of a **PPO** agent playing **LunarLander-v3**
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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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  ---
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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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  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: 252.64 +/- 18.58
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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)
ppo-LunarLander-v2.zip CHANGED
@@ -1,3 +1,3 @@
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  version https://git-lfs.github.com/spec/v1
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- oid sha256:868200f3517edafd73e639e713c9989957d66548577606b9a7bf7c63ae6cbdd5
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  size 149352
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:fb19c851b6347d5c2e2c6177aeb4a3d96113f463d9be586cf59d2e402af71932
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  size 149352
results.json CHANGED
@@ -1 +1 @@
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- {"mean_reward": 251.8008495, "std_reward": 38.0919353405297, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-01-06T18:17:31.972201"}
 
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+ {"mean_reward": 252.64425849999998, "std_reward": 18.578851837712854, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2026-01-06T18:27:50.633774"}