Lecture

Exploration and exploitation

Description

This lecture covers the theory of Reinforcement Learning, focusing on the Exploration/Exploitation dilemma, Temporal Difference Learning, and Eligibility Traces in continuous state/action spaces. It discusses the challenges of estimating reward probabilities and the strategies to balance exploration to estimate rewards and exploitation to maximize rewards.

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