Reinforcement Learning is all you need. Or is it? (Ep. 165)
Data Science at Home
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Reward Functions in Reinforcement Learning
This chapter discusses the concept of reward functions in reinforcement learning and their application to both natural organisms and artificial organisms. It examines the limitations of reward maximization in explaining complex behavior and the advancements in multi-agent reinforcement learning. The importance of well-designed reward and value functions for optimal policy convergence is also emphasized.
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