Optimizing memory-bounded controllers for decentralized POMDPs

Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, UAI 2007

Volumn , Issue , 2007, Pages 1-8

  Amato, Christopher ^a   Bernstein, Daniel S ^a   Zilberstein, Shlomo ^a  

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

Author keywords

[No Author keywords available]

Indexed keywords

DECISION PROBLEMS; FINITE-STATE CONTROLLERS; HIGH QUALITY; INFINITE HORIZONS; NON-LINEAR OPTIMIZATION; NONLINEAR PROGRAMS; OPTIMAL SOLUTIONS; OPTIMIZATION APPROACH; SOLUTION QUALITY; SPACE AND TIME; STATE-OF-THE-ART APPROACH;

CONTROLLERS; OPTIMIZATION;

PROBLEM SOLVING;

EID: 80053179816     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. Christopher Amato, Daniel S. Bernstein, and Shlomo Zilberstein. Solving POMDPs using quadratically constrained linear programs. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, Hyderabad, India, 2007.
2. Daniel S. Bernstein, Eric Hansen, and Shlomo Zilberstein. Bounded policy iteration for decentralized POMDPs. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, 2005.
3. Roger Fletcher, Sven Leyffer, and Philippe L. Toint. On the global convergence of a filter-SQP algorithm. SIAM Journal of Optimization, 13:44-59, 2002. (Pubitemid 36263671)
4. Eric A. Hansen, Daniel S. Bernstein, and Shlomo Zilberstein. Dynamic programming for partially observable stochastic games. In Proceedings of the Nineteenth National Conference on Artificial Intelligence, San Jose, CA, 2004.
5. Ranjit Nair, David Pynadath, Makoto Yokoo, Milind Tambe, and Stacy Marsella. Taming decentralized POMDPs: Towards efficient policy computation for multiagent settings. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Acapulco, Mexico, 2003.
6. Sven Seuken and Shlomo Zilberstein. Memory-bounded dynamic programming for DEC-POMDPs. In Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, Hyderabad, India, 2007.
7. Richard S. Sutton and Andrew G. Barto. Reinforcement Learning: An Introduction. MIT Press, 1998.
8. Daniel Szer and Francois Charpillet. An optimal best-first search algorithm for solving infinite horizon DEC-POMDPs. In Proceedings of the Sixteenth European Conference on Machine Learning, Porto, Portugal, 2005.
9. *: A heuristic search algorithm for solving decentralized POMDPs. In Proceedings of the Twenty-First Conference on Uncertainty in Artificial Intelligence, Edinburgh, Scotland, 2005.