epsil
/

ppo-Walker2DBulletEnv-v0

Reinforcement Learning

stable-baselines3

Walker2DBulletEnv-v0

deep-reinforcement-learning

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PPO Agent playing Walker2DBulletEnv-v0

This is a trained model of a PPO agent playing Walker2DBulletEnv-v0 using the stable-baselines3 library.

Usage (with Stable-baselines3)

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Reinforcement Learning

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Evaluation results

mean_reward on Walker2DBulletEnv-v0
self-reported

1968.90 +/- 16.24

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