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Breaking down State-of-the-Art PPO Implementations in JAX
May 1, 2024, 5:32 a.m. | Ryan Pégoud
Towards Data Science - Medium towardsdatascience.com
All the tricks and details you wish you knew about Proximal Policy Optimization
Photo by Lorenzo Herrera on UnsplashSince its publication in a 2017 paper by OpenAI, Proximal Policy Optimization (PPO) is widely regarded as one of the state-of-the-art algorithms in Reinforcement Learning. Indeed, PPO has demonstrated remarkable performances across various tasks, from attaining superhuman performances in Dota 2 teams to solving a Rubik’s cube with a single robotic hand while maintaining three main advantages: simplicity, stability, and …
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