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--- |
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tags: |
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- LunarLanderContinuous-v2 |
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- reinforce |
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- reinforcement-learning |
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- custom-implementation |
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model-index: |
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- name: REINFORCE-LunarLanderContinuous-v2 |
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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: LunarLanderContinuous-v2 |
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type: LunarLanderContinuous-v2 |
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metrics: |
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- type: mean_reward |
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value: 264.10 +/- 37.17 |
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name: mean_reward |
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verified: false |
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--- |
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# **Reinforce** Agent playing **LunarLanderContinuous-v2** |
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This is a custom agent. Performance has been measured over 900 episodes. |
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To try the agent, user needs to import the ParameterisedPolicy class from the Agent_class.py file. </br> |
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Training progress: |
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