Planning in continuous state spaces with parametric POMDPs

IJCAI 2005 Workshop on Reasoning with Uncertainty in Robotics, RUR 2005

Volumn , Issue , 2005, Pages 40-47

  Brooks, Alex ^a   Makarenko, Alexei ^a   Williams, Stefan ^a   Durrant Whyte, Hugh ^a  

^a UNIVERSITY OF SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CONTINUOUS DISTRIBUTION; CONTINUOUS STATE; CONTINUOUS STATE SPACE; GRID-BASED; PARAMETRIC FORMS; SIMULATED ROBOT; SUFFICIENT STATISTICS; VALUE FUNCTIONS;

ARTIFICIAL INTELLIGENCE; ROBOTICS;

VECTOR SPACES;

EID: 84883096571     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. D. Aberdeen and J. Baxter. scaling internal-state policy-gradient methods for pomdps. In Proceedings of the International Conference on Machine Learning, 2002.
2. D. Bertsekas. Dynamic Programming and Optimal Control. Athena Scientific, Belmont, Massachusetts, 2000.
3. M. Hauskrecht. Value-function approximations for partially observable Markov decision processes. Journal of Artificial Intelligence Research, 13:33-94, 2000.
4. W. Lovejoy. Computationally feasible bounds for partially observed Markov decision processes. Operations Research, 1991.
5. J. Pineau, G. Gordon, and S. Thrun. Point-based value iteration: An anytime algorithm for POMDPs. In Int. Joint Conf. on Artificial Intelligence, 2003.
6. J. Porta, M. Spaan, and N. Vlassis. Robot planning in partially observable continuous domains. In Robotics: Science and Systems, 2005 (to appear).
7. N. Roy. Finding Approximate POMDP Solutions Through Belief Compression. PhD thesis, MIT, 2003.
8. E. J. Sondik. The Optimal Control of Partially Observable Markov Processes. PhD thesis, Stanford University, 1971.
9. M. Spaan and N. Vlassis. Perseus: Randomized point-based value iteration for POMDPs. Technical report, Informatics Institute, U. of Amsterdam, 2004.
10. S. Thrun. Monte carlo POMDPs. In S. Solla, T. Leen, and K.-R. Müller, editors, NIPS 12, pages 1064-1070. MIT Press, 2000.
11. S. Williams, G. Dissanayake, and H. Durrant-Whyte. Field deployment of the simultaneous localisation and mapping algorithm. In 15th IFAC World Congress on Automatic Control, 2002.
12. R. Zhou and E. Hansen. An improved grid-based approximation algorithm for POMDPs. In IJCAI, pages 707- 716, 2001.