Decentralized Markov decision processes with event-driven interactions

Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS 2004

Volumn 1, Issue , 2004, Pages 302-309

  Becker, Raphen ^a   Zilberstein, Shlomo ^a   Lesser, Victor ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

MARKOV DECISION PROCESSES (MDP); POLYNOMIAL COMPLEXITY; RESEARCHERS;

ALGORITHMS; CONSTRAINT THEORY; DECENTRALIZED CONTROL; MULTI AGENT SYSTEMS; PLANNING; POLYNOMIALS; PROBLEM SOLVING; PUBLIC POLICY;

MARKOV PROCESSES;

EID: 4544301377     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Raphen Becker, Shlomo Zilberstein, Victor Lesser, and Claudia V. Goldman. Transition-independent decentralized Markov decision processes. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multi Agent Systems, pages 41-48, Melbourne, Australia, July 2003. ACM Press.
2. Daniel S. Bernstein, Robert Givan, Neil Immerman, and Shlomo Zilberstein. The complexity of decentralized control of Markov decision processes. Mathematics of Operations Research, 27(4):819-840, November 2002.
3. Craig Boutilier. Sequential optimality and coordination in multiagent systems. In Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence, pages 478-485, 1999.
4. Keith Decker and Victor Lesser. Quantitative modeling of complex environments. International Journal of Intelligent Systems in Accounting, Finance and Management. Special Issue on Mathematical and Computational Models and Characteristics of Agent Behaviour, 2:215-234, January 1993.
5. Claudia V. Goldman and Shlomo Zilberstein. Optimizing information exchange in cooperative multi-agent systems. In Proceedings of the Second International Joint Conference on Autonomous Agents and Multi Agent Systems, pages 137-144, Melbourne, Australia, July 2003. ACM Press.
6. Eric Hansen, Daniel S. Bernstein, and Shlomo Zilberstein. Dynamic programming for partially observable stochastic games. To appear in Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004.
7. Nicholas R. Jennings. Controlling cooperative problem solving in industrial multi-agent systems using joint intentions. Artificial Intelligence, 75(2):95-240, 1995.
8. Martin Mundhenk, Judy Goldsmith, Christopher Lusena, and Eric Allender. Complexity of finite-horizon Markov decision process problems. Journal of the ACM, 47(4):681-720, 2000.
9. Christos H. Papadimitriou and John Tsitsiklis. The complexity of Markov decision processes. Mathematics of Operations Research, 12(3):441-450, 1987.
10. Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, and Leslie P. Kaelbling. Learning to cooperate via policy search. In Proceedings of the Sixteenth Conference on Uncertainty in Artificial Intelligence, pages 489-496, San Francisco, CA, 2000. Morgan Kaufmann.
11. David V. Pynadath and Milind Tambe. The communicative multiagent team decision problem: Analyzing teamwork theories and models. Journal of Artificial Intelligence Research, 16:389-423, 2002.
12. Milind Tambe. Towards flexible teamwork. Journal of Artificial Intelligence Research, 7:83-124, 1997.
13. Thomas Wagner, Valerie Guralnik, and John. Phelps. TAEMS agents: Enabling dynamic distributed supply chain management. Journal of Electronic Commerce Research and Applications, 2003.
14. Ping Xuan and Victor Lesser. Multi-agent policies: From centralized ones to decentralized ones. Proceedings of the First International Joint Conference on Autonomous Agents and Multi Agent Systems, pages 1098-1105, 2002.
15. Ping Xuan, Victor Lesser, and Shlomo Zilberstein. Communication decisions in multi-agent cooperation: Model and experiments. In Proceedings of the Fifth International Conference on Autonomous Agents, pages 616-623, Montreal, Canada, January 2001. ACM Press.