Upload PPO LunarLander-v2 trained agent
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- ppo-LunarLander-v2.zip +1 -1
- results.json +1 -1
README.md
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---
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library_name: stable-baselines3
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tags:
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- LunarLander-
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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-
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type: LunarLander-
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metrics:
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- type: mean_reward
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value: 296.
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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-
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This is a trained model of a **PPO** agent playing **LunarLander-
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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)
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ppo-LunarLander-v2.zip
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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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
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results.json
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{"mean_reward": 296.
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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"}
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