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AAAI
2010
15 years 8 months ago
Using Bisimulation for Policy Transfer in MDPs
Knowledge transfer has been suggested as a useful approach for solving large Markov Decision Processes. The main idea is to compute a decision-making policy in one environment and...
Pablo Samuel Castro, Doina Precup
UAI
2004
15 years 7 months ago
Solving Factored MDPs with Continuous and Discrete Variables
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 ...
Carlos Guestrin, Milos Hauskrecht, Branislav Kveto...
NIPS
2003
15 years 7 months ago
Approximate Policy Iteration with a Policy Language Bias
We study an approach to policy selection for large relational Markov Decision Processes (MDPs). We consider a variant of approximate policy iteration (API) that replaces the usual...
Alan Fern, Sung Wook Yoon, Robert Givan
CORR
2008
Springer
189views Education» more  CORR 2008»
15 years 6 months ago
Algorithms for Dynamic Spectrum Access with Learning for Cognitive Radio
We study the problem of dynamic spectrum sensing and access in cognitive radio systems as a partially observed Markov decision process (POMDP). A group of cognitive users cooperati...
Jayakrishnan Unnikrishnan, Venugopal V. Veeravalli
JAIR
2008
130views more  JAIR 2008»
15 years 6 months ago
Online Planning Algorithms for POMDPs
Partially Observable Markov Decision Processes (POMDPs) provide a rich framework for sequential decision-making under uncertainty in stochastic domains. However, solving a POMDP i...
Stéphane Ross, Joelle Pineau, Sébast...