Deep Reinforcement Learning Through Policy Optimization
Microsoftv-trmyl
Deep Reinforcement Learning Through Policy Optimization
Reinforcement Learning (Deep RL) has seen several breakthroughs in recent years. In this tutorial we will focus on recent advances in Deep RL through policy gradient methods and actor critic methods. These methods have shown significant success in a wide range of domains, including continuous-action domains such as manipulation, locomotion, and ...
Jun 5, 2024
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論文紹介：Direct Preference Optimization: Your Language Model is Secretly a Reward Model
論文紹介：Direct Preference Optimization: Your Language Model is Secretly a Reward Model
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