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Proximal policy optimization

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About Proximal policy optimization · from Wikipedia

Proximal policy optimization (PPO) is a reinforcement learning (RL) algorithm for training an intelligent agent. Specifically, it is a policy gradient method, often used for deep RL when the policy network is very large.

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  • Deep reinforcement learning May 2025
    The notebook trains an agent to land a spacecraft in the LunarLander environment from Gymnasium, using the PPO algorithm from Stable-Baselines3.
Deep reinforcement learning