settybhavithav
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a2c-PandaReachDense-v3

Reinforcement Learning

stable-baselines3

PandaReachDense-v3

deep-reinforcement-learning

Eval Results (legacy)

Model card Files Files and versions

A2C Agent playing PandaReachDense-v3

This is a trained model of an A2C agent playing PandaReachDense-v3 using the stable-baselines3 library.

Mean Reward: -0.24 +/- 0.14
Leaderboard Score (Mean - Std): -0.38
Certification Requirement: >= -3.5 (Passed!)

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Reinforcement Learning

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Evaluation results

mean_reward on PandaReachDense-v3
self-reported

-0.24 +/- 0.14