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AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

CHAPTER

Understanding Manipulation in Reinforcement Learning

This chapter examines the definitions and concepts of manipulative behavior in reinforcement learning and robotics, highlighting the integration of decision-theoretic frameworks. It also discusses advancements in data collection methods, including the use of video datasets to enhance robotic learning and improve task performance.

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