20 search results - page 3 / 4 » An Improved Grid-Based Approximation Algorithm for POMDPs |
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
ECML
2005
Springer
14 years 27 days ago
2005
Springer
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
AAAI
2010
13 years 8 months ago
2010
Partially-observable Markov decision processes (POMDPs) provide a powerful model for sequential decision-making problems with partially-observed state and are known to have (appro...
CSL
2010
Springer
13 years 7 months ago
2010
Springer
This paper describes a statistically motivated framework for performing real-time dialogue state updates and policy learning in a spoken dialogue system. The framework is based on...
IJCAI
2007
13 years 8 months ago
2007
Planning in partially-observable dynamical systems (such as POMDPs and PSRs) is a computationally challenging task. Popular approximation techniques that have proved successful ar...