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» An Improved Grid-Based Approximation Algorithm for POMDPs
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IJCAI
2001
13 years 6 months ago
An Improved Grid-Based Approximation Algorithm for POMDPs
Although a partially observable Markov decision process (POMDP) provides an appealing model for problems of planning under uncertainty, exact algorithms for POMDPs are intractable...
Rong Zhou, Eric A. Hansen
NIPS
2003
13 years 5 months ago
Applying Metric-Trees to Belief-Point POMDPs
Recent developments in grid-based and point-based approximation algorithms for POMDPs have greatly improved the tractability of POMDP planning. These approaches operate on sets of...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
AAAI
2010
13 years 6 months ago
Compressing POMDPs Using Locality Preserving Non-Negative Matrix Factorization
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
Georgios Theocharous, Sridhar Mahadevan
IJRR
2010
162views more  IJRR 2010»
13 years 3 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
MICAI
2004
Springer
13 years 10 months ago
MultiGrid-Based Fuzzy Systems for Function Approximation
In this paper we make use of a modified Grid Based Fuzzy System architecture, which may provide an exponential reduction in the number of rules needed. We also introduce an algori...
Luis Javier Herrera, Héctor Pomares, Ignaci...