Reinforce Agent playing Pixelcopter-PLE-v0

This is a trained REINFORCE agent playing Pixelcopter-PLE-v0.

Environment

  • Environment: Pixelcopter-PLE-v0
  • State space: 7
  • Action space: 2

Training

  • Training episodes: 20000
  • Hidden size: 64
  • Gamma: 0.99
  • Learning rate: 0.0001

Evaluation

  • Mean reward: 20.90
  • Standard deviation: 13.33
  • Mean - Std: 7.57

This model was created as part of the Hugging Face Deep Reinforcement Learning Course, Unit 4.

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Evaluation results