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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: -157.06 +/- 48.98 |
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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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```python |
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{'env_id': 'LunarLander-v2' |
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'n_envs': 8 |
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'n_steps': 128 |
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'epochs': 4 |
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'lr': 1e-05 |
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'gamma': 0.99 |
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'n_minibatches': 4 |
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'batch_size': 1024 |
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'minibatch_size': 256 |
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'total_timesteps': 10000000 |
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'n_iterations': 9765 |
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'norm_adv': True |
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'epsilon': 0.2 |
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'clip_vloss': True |
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'vf_coef': 0.5 |
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'ent_coef': 0.01} |
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``` |
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