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IJCAI
2001
13 years 9 months ago
Reviving Partial Order Planning
This paper challenges the prevailing pessimism about the scalability of partial order planning (POP) algorithms by presenting several novel heuristic control techniques that make ...
XuanLong Nguyen, Subbarao Kambhampati
EOR
2007
158views more  EOR 2007»
13 years 7 months ago
A graph-based hyper-heuristic for educational timetabling problems
This paper presents an investigation of a simple generic hyper-heuristic approach upon a set of widely used constructive heuristics (graph coloring heuristics) in timetabling. Wit...
Edmund K. Burke, Barry McCollum, Amnon Meisels, Sa...
NIPS
1998
13 years 9 months ago
Scheduling Straight-Line Code Using Reinforcement Learning and Rollouts
The execution order of a block of computer instructions can make a difference in its running time by a factor of two or more. In order to achieve the best possible speed, compiler...
Amy McGovern, J. Eliot B. Moss
ECAL
2007
Springer
14 years 1 months ago
Near-Optimal Mobile Robot Recharging with the Rate-Maximizing Forager
We examine the practical problem of a mobile autonomous robot performing a long-duration survey task, during which it must recharge its batteries periodically. We present a scalabl...
Jens Wawerla, Richard T. Vaughan
IJCAI
2007
13 years 9 months ago
Transferring Learned Control-Knowledge between Planners
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
Susana Fernández, Ricardo Aler, Daniel Borr...