Reading Schedule
- Week 1: Introduction to Multi-Agent Systems
- Katia Sycara, Multiagent Systems, AI Magazine 19(2): Summer 1998, p.79-92
- Rod Brooks, I, Rod Brooks, am a Robot, IEEE Spectrum, June 2008
- N. Jennings et al., Human-Agent
Collectives, Communications of the ACM, Dec 2014
- Week 2: Introduction to Planning
- Week 3: Planning: Graphplan and UCT
- Week 4: Trading Agent Competition
- Week 5: Robocup Soccer and Urban Rescue
- Reading: Peter Stone, Manuela Veloso, and Patrick Riley. The CMUnited-98 Champion Simulator
Team. In M. Asada and H.Kitano, editors, RoboCup-98: Robot Soccer World
Cup II Lecture Notes in Artificial Intelligence, pp. 61.76, Springer Verlag
1999.
- Reading: J.,Wang, M. Lewis, and P. Scerri. Cooperating robots for search and rescue,
Proceedings of the AAMAS 1st International Workshop on Agent Technology for
Disaster Management, 2006, 92-99.
- Reading: P. MacAlpine, F. Barrera, and P. Stone. Positioning to Win: A
Dynamic Role Assignment and Formation Positioning System, Proceedings of
the Robocup International Symposium, Mexico, June 2012
- Reading: Juan Pablo Mendoza, Joydeep Biswas, Philip Cooksey, Richard
Wang, Steven Klee, Danny Zhu and Manuela Veloso. Selectively Reactive
Coordination for a Team of Robot Soccer Champions, Proceedings of AAAI 2016
- Week 6: Starcraft Competition; Reinforcement Learning
- Reading: D. Churchill and M. Buro. Incorporating Search Algorithms into RTS Game Agents. AIIDE Workshop on RTS
Games 2012
- Reading: Michal Certicky, David Churchill, Kyung-Joong Kim, Martin Certicky , and Richard Kelly, StarCraft AI Competitions, Bots, and Tournament
Manager Software, IEEE Transactions on Games. 2019
- Reading: Leslie Pack Kaelbling, Michael L. Littman, and Andrew W. Moore. Reinforcement learning: a survey. Journal of Artificial Intelligence Research, 4:237--285, May
1996
- Reading: Reinforcement Learning: an Introduction (Chapter 1, 4, and 6)
- Reading: Peter Stone and Manuela Veloso. Team-Partitioned, Opaque-Transition Reinforcement Learning. In Minoru Asada and Hiroaki Kitano, editors, RoboCup-98: Robot Soccer World Cup II, Lecture Notes in Artificial Intelligence, pp 261-72, Springer Verlag, Berlin, 1999.
- Week 7: Deep RL and Transfer Learning
- Reading (Guest Lecturer): Johnathan Mell and Jonathan Gratch, Grumpy & Pinocchio: Answering Human-Agent Negotiation Questions through Realistic Agent Design, AAMAS 2017
- Reading: Deep Learning (Chapter 1, 6, and 9)
- Reading: Vincent Francois-Lavet, Peter Henderson, Riashat
Islam, Marc G. Bellemare and Joelle Pineau (2018), An
Introduction to Deep Reinforcement Learning, Foundations and
Trends in Machine Learning: Vol. 11, No. 3-4. Chapter 4 and 5
- Reading: Matthew E. Taylor and Peter Stone. Cross-Domain Transfer for Reinforcement Learning. In Proceedings of the Twenty-Fourth International Conference on Machine Learning, June 2007
- Week 8: Robotics: Path Planning
- Week 9: Robotics: Localization and SLAM
- Reading: D. Fox, W. Burgard, F. Dellaert, S. Thrun, Monte Carlo Localization: Efficient Position Estimation for Mobile Robots, AAAI 1999
- Reading: D. Haehnel, W. Burgard, D. Fox, and S. Thrun, An Efficient FastSLAM Algorithm for Generating Maps of Large-scale Cyclic Environments From Raw Laser Range Measurements, IROS-03.
- Week 10: Robotics: Multi-robot Coordination
- Reading: N. Kalra, R. Zlot, and B. Dias, Market-based Multirobot Coordination: A Comprehensive Survey, IEEE Special Issue on Multirobot Coordination, July 2006
- Reading: M. Koes, I. Nourbakhsh, and K. Sycara. Constraint Optimization Coordination Architecture for Search and Rescue Robotics, in Proceedings of ICRA 2006, Orlando, FL, May 2006, pp. 3977-3982
- Week 11: Modeling Humans