Ian Osband
TalkRL: The Reinforcement Learning Podcast
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Exploring the Role of Information Theory in Reinforcement Learning
The chapter delves into the elegance of information theory in handling uncertainty and generalization in reinforcement learning. It discusses how information serves as a crucial tool for learning in RL problems and introduces the concept of information ratio in the context of agents interacting with the environment.
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