Bayes-adaptive POMDPs

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Ross, Stéphane ^a   Chaib Draa, Brahim ^b   Pineau, Joelle ^a  

^a MCGILL UNIVERSITY   (Canada)

^b UNIVERSITÉ LAVAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

ECONOMIC AND SOCIAL EFFECTS; ESTIMATION; REINFORCEMENT LEARNING;

BAYESIAN REINFORCEMENT LEARNING; EXPLORATION/EXPLOITATION; HIDDEN VARIABLE; MARKOV DECISION PROCESSES; MODEL ESTIMATES; PARTIALLY OBSERVABLE MARKOV DECISION PROCESS; PARTIALLY OBSERVABLE MDP; PROCESS FRAMEWORK; REINFORCEMENT LEARNINGS; TRADE OFF;

MARKOV PROCESSES;

EID: 85162018872     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. R. Dearden, N. Friedman, and N. Andre. Model based bayesian exploration. In UAI, 1999.
2. M. Duff. Optimal Learning: Computational Procedure for Bayes-Adaptive Markov Decision Processes. PhD thesis, University of Massachusetts, Amherst, USA, 2002.
3. P. Poupart, N. Vlassis, J. Hoey, and K. Regan. An analytic solution to discrete bayesian reinforcement learning. In Proc. ICML, 2006.
4. R. Jaulmes, J. Pineau, and D. Precup. Active learning in partially observable markov decision processes. In ECML, 2005.
5. L. P. Kaelbling,M. L. Littman, and A. R. Cassandra. Planning and acting in partially observable stochastic domains. Artificial Intelligence, 101:99-134, 1998. (Pubitemid 128387390)
6. J. Pineau, G. Gordon, and S. Thrun. Point-based value iteration: an anytime algorithm for POMDPs. In IJCAI, pages 1025-1032, Acapulco, Mexico, 2003.
7. M. Spaan and N. Vlassis. Perseus: randomized point-based value iteration for POMDPs. JAIR, 24:195-220, 2005. (Pubitemid 43130936)
8. T. Smith and R. Simmons. Heuristic search value iteration for POMDPs. In UAI, Banff, Canada, 2004.
9. S. Paquet, L. Tobin, and B. Chaib-draa. An online POMDP algorithm for complex multiagent environments. In AAMAS, 2005.
10. Jonathan Baxter and Peter L. Bartlett. Infinite-horizon policy-gradient estimation. Journal of Artificial Intelligence Research (JAIR), 15:319-350, 2001.
11. Stéphane Ross, Brahim Chaib-draa, and Joelle Pineau. Bayes-adaptive pomdps. Technical Report SOCSTR-2007.6, McGill University, 2007.
12. A. Doucet, N. de Freitas, and N. Gordon. Sequential Monte Carlo Methods In Practice. Springer, 2001.