1 |
Claus C. and Boutilier C., "The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems," Proceedings of AAAI-98, pp. 746-752, 1998
|
2 |
Littman M.L., "Markov Games as Framework for Multi-Agent Reinforcement Learning," Proceedings of the 11th International Conference on Machine Learning, pp. 157-163, 1994
|
3 |
Littman M.L., "Friend-or-Foe Q-learning in General- Sum Games," Proceedings of the 18th International Conference on Machine Learning, Morgan Kaufman, pp. 322-328, 2001
|
4 |
Carmel D. and Markovitch S., "Learning Models of Intelligent Agents," Proceedings of AAAI-96, pp. 62-67, 1996
|
5 |
Sutton, R.S., Barto, A.G. Reinforcement Learning: An Introduction, MIT Press, 1998
|
6 |
Rahimi K.A., Tabarraei H., Sadeghi B., "Reinforcement Learning Based Supplier-Agents for Electricity Markets," Proceedings of the IEEE International Symposium on Control and Automation, pp. 1405-1410, 2005
|
7 |
Chalkiadakis G. and Boutilier C., "Multiagent Reinforcement Learning: Theoretical Framework and An Algorithm," Proceedings of the 2nd AAMAS-03, pp. 709-716, 2003.
|
8 |
Riley P. and Veloso M., "Advice Generation from Observed Execution: Abstract Markov Decision Process Learning," Proceedings of AAAI-2004, 2004
|
9 |
Tesauro G., "Multi Agent Learning: Mini Tutorial," IBM T.J.Watson Research Center, 2000
|
10 |
Shoham Y., Powers R., and Grenager T., "Multi- Agent Reinforcement Learning: A Critical Survey," Technical Report, Stanford University, 2003
|
11 |
Hu J. and Wellman M.P., "Nash Q-learning for General-Sum Stochastic Games," Journal of Machine Learning Research, Vol.4, pp. 1039-1069, 2003
DOI
ScienceOn
|
12 |
Yang E. and Gu D., "Multiagent Reinforcement Learning for Multi-Robot Systems: A Survey," University of Essex Technical Report CSM-404, 2004
|