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--- |
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tags: |
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- CartPole-v1 |
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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: CartPole-v1 |
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type: CartPole-v1 |
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metrics: |
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- type: mean_reward |
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value: 414.70 +/- 136.64 |
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name: mean_reward |
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verified: false |
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--- |
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# PPO Agent Playing CartPole-v1 |
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This is a trained model of a PPO agent playing CartPole-v1. |
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# Hyperparameters |
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This was trained with a decaying learning rate of 25e-5, clip-coef of 0.1 and 1 million timesteps. |
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Still not perfect but that was not the point. You can follow the full journey here for more info: https://github.com/MattStammers/PPO_Lander_Implementation |
