152 search results - page 20 / 31 » A game-based abstraction-refinement framework for Markov dec... |
FLAIRS
2008
13 years 9 months ago
2008
Current studies have demonstrated that the representational power of predictive state representations (PSRs) is at least equal to the one of partially observable Markov decision p...
NIPS
2007
13 years 8 months ago
2007
Bayesian Reinforcement Learning has generated substantial interest recently, as it provides an elegant solution to the exploration-exploitation trade-off in reinforcement learning...
UAI
2004
13 years 8 months ago
2004
Although many real-world stochastic planning problems are more naturally formulated by hybrid models with both discrete and continuous variables, current state-of-the-art methods ...
QEST
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider Markov Decision Processes (MDPs) as transformers on probability distributions, where with respect to a scheduler that resolves nondeterminism, the MDP can be seen as ex...
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
Decentralized partially observable Markov decision processes (Dec-POMDPs) constitute a generic and expressive framework for multiagent planning under uncertainty. However, plannin...