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JAIR
2000
152views more  JAIR 2000»
14 years 9 months ago
Value-Function Approximations for Partially Observable Markov Decision Processes
Partially observable Markov decision processes (POMDPs) provide an elegant mathematical framework for modeling complex decision and planning problems in stochastic domains in whic...
Milos Hauskrecht
KI
2007
Springer
14 years 9 months ago
Solving Decentralized Continuous Markov Decision Problems with Structured Reward
We present an approximation method that solves a class of Decentralized hybrid Markov Decision Processes (DEC-HMDPs). These DEC-HMDPs have both discrete and continuous state variab...
Emmanuel Benazera
86
Voted
MFCS
2010
Springer
14 years 8 months ago
Qualitative Analysis of Partially-Observable Markov Decision Processes
We study observation-based strategies for partially-observable Markov decision processes (POMDPs) with parity objectives. An observationbased strategy relies on partial information...
Krishnendu Chatterjee, Laurent Doyen, Thomas A. He...
ATAL
2003
Springer
15 years 2 months ago
Transition-independent decentralized markov decision processes
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
SODA
2010
ACM
190views Algorithms» more  SODA 2010»
15 years 7 months ago
One-Counter Markov Decision Processes
We study the computational complexity of some central analysis problems for One-Counter Markov Decision Processes (OC-MDPs), a class of finitely-presented, countable-state MDPs. O...
Tomas Brazdil, Vaclav Brozek, Kousha Etessami, Ant...