On Rewards in Multi-Agent Systems

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United States Simons Institute for the Theory of Computing
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Published on ● Video Link: https://www.youtube.com/watch?v=33C37qR8XKg


Duration: 32:06
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Doina Precup (McGill University / DeepMind Montreal)
https://simons.berkeley.edu/talks/tbd-393
Multi-Agent Reinforcement Learning and Bandit Learning



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Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Multi-Agent Reinforcement Learning and Bandit Learning
Doina Precup