Decentralized Control
Robert discusses the concept of centralized training and decentralized control in multi-agent reinforcement learning, emphasizing the importance of decentralized control for real-world deployment. He highlights the potential of machine learning to enhance decision-making in economics and society, drawing parallels between behavioral economics and reinforcement learning.In this clip
From this podcast
Machine Learning Street Talk (MLST)
Robert Lange on NN Pruning and Collective Intelligence
Related Questions
What are some non-obvious insights about the impact of multi-agent systems?
I have a question about the episode Pieter Abbeel: Deep Reinforcement Learning | Lex Fridman Podcast #10 and the clip Hierarchical Reasoning Challenges. As we have robots interact in the physical world, is that a signal that could be used in reinforcement learning in the context of the episode and the clip?