Exploring Mopo Model Based Offline Policy Optimization

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  • In this video, I break down DeepSeek's Group Relative
  • As a regular normal swe, I want to share the most typical LLM training process nowadays (Pre-Training + SFT + RLHF), along with ...
  • Hands-on whiteboard session on every step of the PPO algorithm! *Support me by buying a copy of the whiteboard:* ...
  • This video introduces the variety of methods for
  • In this episode I introduce

In-Depth Information on Mopo Model Based Offline Policy Optimization

Tengyu Ma (Stanford https://simons.berkeley.edu/talks/tbd-206 Deep Reinforcement Learning. Summary of the video: Sergey Levine (UC Berkeley) https://simons.berkeley.edu/talks/tbd-256 Reinforcement Learning from Batch Data and Simulation. Here we introduce dynamic programming, which is a cornerstone of

Today we close out our NeurIPS series joined by Aravind Rajeswaran, a PhD Student in machine learning and robotics at the ...

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