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Stefano V. Albrecht, Filippos Christianos, and Lukas Schäfer have published a textbook introducing multi-agent reinforcement learning. We will look at the introduction and some early chapters in this kickoff meeting in order to get familiar with the topic. The authors have also provided slides, videos from a summer course, and a codebase. Those materials as well as the PDF of the book are linked below. I've also included the usual links related to the Sutton and Barto material.

Meetup Links:
Recordings of Previous Meetings
Short RL Tutorials
My exercise solutions and chapter notes
Kickoff Slides which contain other links

MARL Links:
Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
MARL Summer Course Videos
MARL Slides

Sutton and Barto Links:
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
Video lectures from a similar course

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