Learnix-AI-Lab
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reinforce-CartPole-v1

Reinforcement Learning

custom-implementation

Eval Results (legacy)

Model card Files Files and versions

REINFORCE Agent playing CartPole-v1

This is a trained model of a REINFORCE agent playing CartPole-v1 using PyTorch.

Mean Reward: 453.25 +/- 93.88
Result (mean - std): 359.37

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Reinforcement Learning

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Evaluation results

mean_reward on CartPole-v1
self-reported

453.25 +/- 93.88