Ravikanth8788
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Reinforce-Pixelcopter-PLE-v0

Reinforcement Learning

Pixelcopter-PLE-v0

custom-implementation

Eval Results (legacy)

Model card Files Files and versions

REINFORCE Agent playing Pixelcopter-PLE-v0

This is a trained model of a REINFORCE (Monte Carlo Policy Gradient) agent playing Pixelcopter-PLE-v0.

Evaluation Results

Mean Reward: 75.50 +/- 68.11

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Reinforcement Learning

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Evaluation results

mean_reward on Pixelcopter-PLE-v0
self-reported

75.50 +/- 68.11