REINFORCE Agent

This model was trained using the REINFORCE algorithm on the CartPole-v1 environment.

Environment

  • CartPole-v1

Evaluation

Metric Value
Mean Reward 500.0
Standard Deviation 0.0
Certification Score 500.0

Files

  • model.pt – Trained REINFORCE policy
  • hyperparameters.json – Training hyperparameters
  • results.json – Evaluation results
  • replay.mp4 – Gameplay replay
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Evaluation results