Скачать или смотреть Proximal Policy Optimization 🌟 TranAn

Proximal Policy Optimization (PPO) is an algorithm widely used in reinforcement learning for training deep learning models effectively and efficiently. It belongs to the family of policy gradient methods, which optimize a policy directly. During the seminar, the speaker will likely explore the mechanics of PPO, which is designed to address some of the limitations found in earlier policy gradient methods such as Trust Region Policy Optimization (TRPO).

Our Speaker: TranAn
👉 AI Engineer at Viettel.
👉 AI Researcher at Smart Lab FPT Univeristy with the main interest in Reinforcement Learning, Robotics...

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