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» Coarticulation in Markov Decision Processes
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CORR
2012
Springer
286views Education» more  CORR 2012»
12 years 5 months ago
A Faster Algorithm for Solving One-Clock Priced Timed Games
One-clock priced timed games is a class of two-player, zero-sum, continuous-time games that was defined and thoroughly studied in previous works. We show that One-clock priced ti...
Thomas Dueholm Hansen, Rasmus Ibsen-Jensen, Peter ...
AAAI
2012
12 years 13 days ago
Kernel-Based Reinforcement Learning on Representative States
Markov decision processes (MDPs) are an established framework for solving sequential decision-making problems under uncertainty. In this work, we propose a new method for batchmod...
Branislav Kveton, Georgios Theocharous
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
14 years 4 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
CORR
2010
Springer
106views Education» more  CORR 2010»
13 years 10 months ago
MDPs with Unawareness
Markov decision processes (MDPs) are widely used for modeling decision-making problems in robotics, automated control, and economics. Traditional MDPs assume that the decision mak...
Joseph Y. Halpern, Nan Rong, Ashutosh Saxena
FSTTCS
2006
Springer
14 years 1 months ago
Testing Probabilistic Equivalence Through Reinforcement Learning
We propose a new approach to verification of probabilistic processes for which the model may not be available. We use a technique from Reinforcement Learning to approximate how far...
Josee Desharnais, François Laviolette, Sami...