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#81 – Anca Dragan: Human-Robot Interaction and Reward Engineering

Lex Fridman Podcast

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Navigating Human-Robot Interactions

This chapter explores the intricate dynamics of human-robot interactions, emphasizing the necessity for robots to adapt to individual human preferences while understanding complex behaviors. It discusses advanced modeling techniques like inverse reinforcement learning and the application of game theory to optimize communication and decision-making between humans and robots. By addressing the challenges of modeling human emotions and actions, the chapter advocates for robotic systems that intelligently engage with users to enhance cooperation and performance.

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