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10min chapter
DR. JEFF BECK - THE BAYESIAN BRAIN
Machine Learning Street Talk (MLST)
Advancements in Bayesian Multi-Agent Systems
This chapter explores the challenges and innovations in Bayesian approaches to multi-agent systems, focusing on gradient-free learning techniques. It highlights the interplay between generative models, transformers, and the optimization processes, emphasizing the benefits and trade-offs of gradient-free compared to traditional methods.
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