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ATAL
2007
Springer
15 years 8 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
ICSE
2012
IEEE-ACM
13 years 4 months ago
WitchDoctor: IDE support for real-time auto-completion of refactorings
—Integrated Development Environments (IDEs) have come to perform a wide variety of tasks on behalf of the programmer, refactoring being a classic example. These operations have u...
Stephen R. Foster, William G. Griswold, Sorin Lern...
ANTSW
2010
Springer
14 years 12 months ago
Autonomous Multi-agent Cycle Based Patrolling
We introduce a novel multi-agent patrolling strategy. By assumption, the swarm of agents performing the task consists of very low capability ant-like agents. The agents have littl...
Yotam Elor, Alfred M. Bruckstein
CVPR
2007
IEEE
16 years 3 months ago
Efficient MRF Deformation Model for Non-Rigid Image Matching
We propose a novel MRF-based model for deformable image matching (also known as registration). The deformation is described by a field of discrete variables, representing displace...
Alexander Shekhovtsov, Ivan Kovtun, Václav ...
TSP
2008
115views more  TSP 2008»
15 years 1 months ago
Approximation Bounds for Semidefinite Relaxation of Max-Min-Fair Multicast Transmit Beamforming Problem
Consider a downlink multicast scenario where a base station equipped with multiple antennas wishes to simultaneously broadcast a number of signals to some given groups of users ove...
Tsung-Hui Chang, Zhi-Quan Luo, Chong-Yung Chi