BibTeX
@MISC{Poupart_generalterms,
author = {Pascal Poupart},
title = {General Terms Algorithms},
year = {}
}
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Abstract
Planning as inference recently emerged as a versatile approach to decision-theoretic planning and reinforcement learning for single and multi-agent systems in fully and partially observable domains with discrete and continuous variables.
Citations
| 69 | Point-based POMDP algorithms: Improved analysis and implementation - Smith, Simmons - 2005 |
| 45 | Exploiting structure to efficiently solve large scale partially observable markov decision processes. Unpublished doctoral dissertation, Citeseer - Poupart - 2005 |
| 26 | Probabilistic inference for solving (PO)MDPs - Toussaint, Harmelign, et al. - 2006 |
| 22 | Stochastic local search for POMDP controllers - Braziunas, Boutilier - 2004 |
| 18 | Solving POMDPs using quadratically constrained linear programs - Amato, Bernstein, et al. - 2007 |
| 7 | Fast State Discovery for HMM Model Selection and Learning - Siddiqi, Gordon, et al. - 2007 |
