Sveriges mest populära poddar

TalkRL: The Reinforcement Learning Podcast

Jakob Foerster

64 min • 8 maj 2023

Jakob Foerster on Multi-Agent learning, Cooperation vs Competition, Emergent Communication, Zero-shot coordination, Opponent Shaping, agents for Hanabi and Prisoner's Dilemma, and more.  

Jakob Foerster is an Associate Professor at University of Oxford.  

Featured References  

Learning with Opponent-Learning Awareness 
Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch  

Model-Free Opponent Shaping 
Chris Lu, Timon Willi, Christian Schroeder de Witt, Jakob Foerster  

Off-Belief Learning 
Hengyuan Hu, Adam Lerer, Brandon Cui, David Wu, Luis Pineda, Noam Brown, Jakob Foerster  

Learning to Communicate with Deep Multi-Agent Reinforcement Learning 
Jakob N. Foerster, Yannis M. Assael, Nando de Freitas, Shimon Whiteson  

Adversarial Cheap Talk 
Chris Lu, Timon Willi, Alistair Letcher, Jakob Foerster  

Cheap Talk Discovery and Utilization in Multi-Agent Reinforcement Learning 
Yat Long Lo, Christian Schroeder de Witt, Samuel Sokota, Jakob Nicolaus Foerster, Shimon Whiteson  


Additional References  


Kategorier
Förekommer på
00:00 -00:00