Machine Learning (NIS)
Lecture #14: Multi-Agent Reinforcement Learning
Time and place:
Wednesday 16 May 2001, 15:00-16:00 in Room E3-209
Instructor:
Uffe Kjærulff
Literature:
Michael L. Littman (1994),
Markov games as a framework for multi-agent reinforcement learning
, In
Proceedings of the Eleventh International Conference on Machine Learning
, pp. 157-163, Morgan Kaufmann, San Francisco, California.
Junling Hu and Michael P. Wellman (1998),
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm
, In
Proceedings of the Fifteenth International Conference on Machine Learning
, pp. 242-250, Morgan Kaufmann, San Francisco, California.
Roger A. McCain (1999),
Game Theory: An Introductory Sketch
, Department of Economics and International Business, Bennet S. LeBow College of Business, Drexel University, Philadelphia, USA.
Slides:
24 slides on 24 sheets (
PostScript
(193 KB), or
LaTeX + figures
(10 KB))
Handouts:
24 slides on 6 sheets (
PostScript
(203 KB),
PDF
(144 KB))