73 search results - page 12 / 15 » Incremental Learning of Planning Operators in Stochastic Dom... |
ATAL
2007
Springer
14 years 1 months ago
2007
Springer
Optimal resource scheduling in multiagent systems is a computationally challenging task, particularly when the values of resources are not additive. We consider the combinatorial ...
ML
1998
ACM
13 years 7 months ago
1998
ACM
Recent algorithmic and theoretical advances in reinforcement learning (RL) have attracted widespread interest. RL algorithmshave appeared that approximatedynamic programming on an ...
ESOP
2007
Springer
14 years 1 months ago
2007
Springer
When students first learn programming, they often rely on a simple operational model of a program’s behavior to explain how particular features work. Because such models build o...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper presents a methodology for using heuristic search methods to optimise cancer chemotherapy. Specifically, two evolutionary algorithms - Population Based Incremental Lear...
ATAL
2004
Springer
14 years 26 days ago
2004
Springer
Product Distribution (PD) theory was recently developed as a framework for analyzing and optimizing distributed systems. In this paper we demonstrate its use for adaptive distribu...