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UAI
2003
15 years 1 months ago
Optimal Limited Contingency Planning
For a given problem, the optimal Markov policy over a finite horizon is a conditional plan containing a potentially large number of branches. However, there are applications wher...
Nicolas Meuleau, David E. Smith
ATAL
2004
Springer
15 years 5 months ago
Interactive POMDPs: Properties and Preliminary Results
This paper presents properties and results of a new framework for sequential decision-making in multiagent settings called interactive partially observable Markov decision process...
Piotr J. Gmytrasiewicz, Prashant Doshi
ICMLA
2009
14 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
ICAI
2009
14 years 9 months ago
The Utility of Affect in the Selection of Actions and Goals Under Real-World Constraints
We present a novel affective goal selection mechanism for decision-making in agents with limited computational resources (e.g., such as robots operating under real-time constraint...
Paul W. Schermerhorn, Matthias Scheutz
CORR
2010
Springer
112views Education» more  CORR 2010»
14 years 12 months ago
Efficient Approximation of Optimal Control for Markov Games
The success of probabilistic model checking for discrete-time Markov decision processes and continuous-time Markov chains has led to rich academic and industrial applications. The ...
Markus Rabe, Sven Schewe, Lijun Zhang