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.
00:00
Transcript
Play full episode
Remember Everything You Learn from Podcasts
Save insights instantly, chat with episodes, and build lasting knowledge - all powered by AI.
