We are having the multi-agent reinforcement learning (MARL) reading group meeting starting from August 25, 2017. It would be a weekly discussion on Fridays (usually 12pm-1pm, subject to change). If you are interested in joining the reading group, please email your name, title, your home department at CMU as well as your research interests to firstname.lastname@example.org and wait for approval. We expect everyone reads the paper before coming to the reading group and prepares a few questions for discussion.
- 12pm-1pm ET, November 17, 2017. Wean 4220.
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Marc Lanctot, Vinicius Zambaldi, Audrunas Gruslys, Angeliki Lazaridou, Karl Tuyls, Julien Perolat, David Silver, Thore Graepel
- 12pm-1pm ET, November 10, 2017. Wean 4220.
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
Matej Moravčík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael Bowling
- 12pm-1pm ET, October 27, 2017. Wean 4220.
Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments
Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
- 12pm-1pm ET, October 20, 2017. Wean 4220.
Fully Decentralized Policies for Multi-Agent Systems: An Information Theoretic Approach
Roel Dobbe, David Fridovich-Keil, Claire Tomlin
- 12pm-1pm ET, October 13, 2017. Wean 4220.
Plan-based reward shaping for multi-agent reinforcement learning
SAM DEVLIN and DANIEL KUDENKO
- 12pm-1pm ET, October 6, 2017. Wean 4220.
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu
- 12pm-1pm ET, September 29, 2017. Wean 4220.
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability, ICML 2017
Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
- 12pm-1pm ET, September 22, 2017. Wean 4220.
Learning with Opponent-Learning Awareness
Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch
- 12pm-1pm ET, September 15, 2017. Wean 4220.
Deep reinforcement learning from self-play in imperfect-information games
Heinrich, Johannes, and David Silver. arXiv, 2016.
Multiagent Bidirectionally-Coordinated Nets for Learning to Play StarCraft Combat Games
Peng P, Yuan Q, Wen Y, et al. arXiv, 2017.
- 12pm-1pm ET, September 8, 2017. Wean 4220.
Deep Recurrent Q-Learning for Partially Observable MDPs
Matthew Hausknecht, Peter Stone
- 12pm-1pm ET, September 1, 2017. Wean 4126.
A comprehensive survey of multi-agent reinforcement learning
Busoniu L, Babuska R, De Schutter B. IEEE Transactions on Systems Man and Cybernetics Part C Applications and Reviews, 2008
- 1pm-2pm ET, August 25, 2017. Wean 4126.
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch