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GECCO
2006
Springer
186views Optimization» more  GECCO 2006»
15 years 10 months ago
Genetic algorithms for action set selection across domains: a demonstration
Action set selection in Markov Decision Processes (MDPs) is an area of research that has received little attention. On the other hand, the set of actions available to an MDP agent...
Greg Lee, Vadim Bulitko
209
Voted
PRICAI
2000
Springer
15 years 10 months ago
Generating Hierarchical Structure in Reinforcement Learning from State Variables
This paper presents the CQ algorithm which decomposes and solves a Markov Decision Process (MDP) by automatically generating a hierarchy of smaller MDPs using state variables. The ...
Bernhard Hengst
AAAI
2008
15 years 9 months ago
Partially Synchronized DEC-MDPs in Dynamic Mechanism Design
In this paper, we combine for the first time the methods of dynamic mechanism design with techniques from decentralized decision making under uncertainty. Consider a multi-agent s...
Sven Seuken, Ruggiero Cavallo, David C. Parkes
FLAIRS
2008
15 years 9 months ago
State Space Compression with Predictive Representations
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...
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chai...
WSC
2008
15 years 9 months ago
Multi-Agent Resource Allocation (MARA) for modeling construction processes
Multi-Agent Resource Allocation (MARA) is a field developing solutions to the problem of distributing a number of resources amongst multiple agents. This field has interdisciplina...
Yang Liu, Yasser Mohamed