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ECML
2004
Springer
14 years 3 months ago
Batch Reinforcement Learning with State Importance
Abstract. We investigate the problem of using function approximation in reinforcement learning where the agent’s policy is represented as a classifier mapping states to actions....
Lihong Li, Vadim Bulitko, Russell Greiner
ICALP
2004
Springer
14 years 3 months ago
Online Scheduling with Bounded Migration
Consider the classical online scheduling problem where jobs that arrive one by one are assigned to identical parallel machines with the objective of minimizing the makespan. We gen...
Peter Sanders, Naveen Sivadasan, Martin Skutella
ICS
2004
Tsinghua U.
14 years 3 months ago
Applications of storage mapping optimization to register promotion
Storage mapping optimization is a flexible approach to folding array dimensions in numerical codes. It is designed to reduce the memory footprint after a wide spectrum of loop tr...
Patrick Carribault, Albert Cohen
LATIN
2004
Springer
14 years 3 months ago
Cost-Optimal Trees for Ray Shooting
Predicting and optimizing the performance of ray shooting is a very important problem in computer graphics due to the severe computational demands of ray tracing and other applicat...
Hervé Brönnimann, Marc Glisse
SCVMA
2004
Springer
14 years 3 months ago
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation
3D-model-based tracking offers one possibility to explicate the manner in which spatial coherence can be exploited for the analysis of image sequences. Two seemingly different ap...
Hendrik Dahlkamp, Artur Ottlik, Hans-Hellmut Nagel