
Music & AI Plus a Geometric Perspective on Reinforcement Learning with Pablo Samuel Castro - #339
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Exploring the Intersection of Graph Theory and Reinforcement Learning in Multi-Agent Systems
This chapter explores how graph theory integrates with reinforcement learning in multi-agent systems. It highlights innovative research on using graph algorithms for value function approximation and the challenges of agent interactions in complex environments.
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