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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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- task: |
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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: 104.83 +/- 18.01 |
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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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See the GitHub for full info and the journey on creating this on the surface not particularly exciting model: https://github.com/MattStammers/PPO_Lander_Implementation |
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It took me 8 attempts to get the score to nearly reach 0 using a cleanRL implementation and WandB metric tracking and then this version was trained after 10 attempts converging at about 3 million training steps |
