Ambiwlans
/

Default_ppo-LunarLander-v2

Reinforcement Learning

stable-baselines3

deep-reinforcement-learning

Eval Results (legacy)

Model card Files Files and versions

PPO Agent playing LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.

Used default settings but for 1511424 timesteps

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Reinforcement Learning

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Evaluation results

mean_reward on LunarLander-v2
self-reported

272.96 +/- 13.01