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UID:onejoy-event-15654@onejoy
DTSTAMP:20261005T095716Z
DTSTART:20260818T003000Z
DTEND:20260818T023000Z
SUMMARY:MARL Chapter 9.9: Population-Based Training
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DESCRIPTION:This meeting will continue the material from Chapter 9 in Multi-Agent Reinforcement Learning: Foundations and Modern Approaches (https://www.marl-book.com/). In the last meeting we explored how policy self-play can generate generations of agents that hopefully improve in their performance. That technique was confined to zero-sum two player games and a particular type of search enhanced policy training. Today\, we will extend that concept to arbitrary stochastic games and generic reinforcement lea\nhttps://onejoy.io/event/15654
URL:https://onejoy.io/event/15654
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