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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: 296.06 +/- 13.46
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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: 296.52 +/- 13.33
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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 sha256:89342e30793353555723b467ba4d559bc371655d1d763a1f5a3ad47b66ca23d0
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  size 152102
 
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  version https://git-lfs.github.com/spec/v1
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+ oid sha256:b45f210c250ceccc8adb42d9167fbd99e38b6f9235ca985a8c22a3bcf3266ad2
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  size 152102
results.json CHANGED
@@ -1 +1 @@
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- {"mean_reward": 296.0642844, "std_reward": 13.458973979280179, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-27T15:11:56.911861"}
 
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+ {"mean_reward": 296.52258420000004, "std_reward": 13.333659923100964, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2025-08-27T15:15:09.192073"}