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KavyaChinta05
/
reinforce-CartPole-v1
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Reinforcement Learning
PyTorch
policy-gradient
reinforce
CartPole-v1
Eval Results (legacy)
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REINFORCE Agent playing CartPole-v1
Environment
Evaluation
REINFORCE Agent playing CartPole-v1
This model implements the REINFORCE policy-gradient algorithm using PyTorch.
Environment
CartPole-v1
Evaluation
Mean reward: 424.41
Standard deviation: 47.23
Certification score: 377.18
Evaluation episodes: 100
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Reinforcement Learning
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Evaluation results
mean_reward
on CartPole-v1
self-reported
424.41 +/- 47.23
