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ICMLA
2009
13 years 9 months ago
Automatic Feature Selection for Model-Based Reinforcement Learning in Factored MDPs
Abstract--Feature selection is an important challenge in machine learning. Unfortunately, most methods for automating feature selection are designed for supervised learning tasks a...
Mark Kroon, Shimon Whiteson
AAAI
2006
14 years 25 days ago
Factored MDP Elicitation and Plan Display
The software suite we will demonstrate at AAAI '06 was designed around planning with factored Markov decision processes (MDPs). It is a user-friendly suite that facilitates d...
Krol Kevin Mathias, Casey Lengacher, Derek William...
FLAIRS
2008
14 years 1 months ago
Planning for Welfare to Work
We are interested in building decision-support software for social welfare case managers. Our model in the form of a factored Markov decision process is so complex that a standard...
Liangrong Yi, Raphael A. Finkel, Judy Goldsmith
PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
14 years 6 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...
ICML
2005
IEEE
15 years 7 days ago
A causal approach to hierarchical decomposition of factored MDPs
We present Variable Influence Structure Analysis, an algorithm that dynamically performs hierarchical decomposition of factored Markov decision processes. Our algorithm determines...
Anders Jonsson, Andrew G. Barto