Partial local friendQ multiagent learning: Application to team automobile coordination problem

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4013 LNAI, Issue , 2006, Pages 359-370

  Laumonier, Julien ^a   Chaib draa, Brahim ^a  

^a UNIVERSITÉ LAVAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CHARACTERIZATION; COMMUNICATION; COSTS; LEARNING SYSTEMS; MATHEMATICAL MODELS; PROBLEM SOLVING; REINFORCEMENT;

MULTIAGENT LEARNING; OBSERVABLE PROBLEMS; OPTIMAL SOLUTION; VEHICLE COORDINATION PROBLEM;

MULTI AGENT SYSTEMS;

EID: 33746031424     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11766247_31     Document Type: Conference Paper

References (17)

1. Xuan, P., Lesser, V., Zilberstein, S.: Communication decisions in multi-agent co-operation: Model and experiments. In Müller, J.P., Andre, E., Sen, S., Frasson, C., eds.: the Fifth International Conference on Autonomous Agents, Montreal, Canada, ACM Press (2001) 616-623
2. Pynadath, D.V., Tambe, M.: The communicative multiagent team decision problem: Analyzing teamwork theories and models. Journal of AI Research 16 (2002) 389-423
3. Aras, R., Dutech, A., Charpillet, F.: Cooperation in Stochastic Games through Communication. In: fourth Internantional Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'05) (poster), Utrecht, Nederlands (2005)
4. Verbeeck, K.: Exploring Selfish Reinforcement Learning in Stochastic Non-Zero Sum Games. PhD thesis, Vrije Universiteit Brussel (2004)
5. Bui, H.H.: An Approach to Coordinating Team of Agents under Incomplete Information. PhD thesis, Curtin University of Technology (1998)
6. Littman, M.: Friend-or-Foe Q-learning in General-Sum Games. In Kaufmann, M., ed.: Eighteenth International Conference on Machine Learning. (2001) 322-328
7. Wang, X., Sandholm, T.W.: Reinforcement Learning to Play An Optimal Nash Equilibrium in Team Markov Games. In: 16th Neural Information Processing Systems: Natural and Synthetic conference. (2002)
8. Moriarty, D.E., Langley, P.: Distributed learning of lane-selection strategies for traffic management. Technical report, Palo Alto, CA. (1998) 98-2.
9. Varaiya, P.: Smart cars on smart roads : Problems of control. IEEE Transactions on Automatic Control 38(2) (1993) 195-207
10. Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge, MA (1998)
11. Basar, T., Olsder, G.J.: Dynamic Noncooperative Game Theory. 2nd edn. Classics In Applied Mathematics (1999)
12. Emery-Montermerlo, R.: Game-theoretic control for robot teams. Technical Report CMU-RI-TR-05-36, Robotics Institute, Carnegie Mellon University (2005)
13. Kok, J.R., Vlassis, N.: Sparse Cooperative Q-learning. In Greiner, R., Schuurmans, D., eds.: Proc. of the 21st Int. Conf. on Machine Learning, Banff, Canada, ACM (2004) 481-488
14. Fulda, N., Ventura, D.: Dynamic Joint Action Perception for Q-Learning Agents. In: 2003 International Conference on Machine Learning and Applications. (2003)
15. Dolgov, D., Durfee, E.H.: Graphical models in local, asymmetric multi-agent Markov decision processes. In: Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS-04). (2004)
16. Ünsal, C., Kachroo, P., Bay, J.S.: Simulation study of multiple intelligent vehicle control using stochastic learning automata. IEEE Transactions on Systems, Man and Cybernetics - Part A : Systems and Humans 29(1) (1999) 120-128
17. Pendrith, M.D.: Distributed reinforcement learning for a traffic engineering application. In: the Fourth International Conference on Autonomous Agents. (2000) 404-411