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» Learning to Control in Operational Space
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ICML
2003
IEEE
15 years 4 months ago
Evolutionary MCMC Sampling and Optimization in Discrete Spaces
The links between genetic algorithms and population-based Markov Chain Monte Carlo (MCMC) methods are explored. Genetic algorithms (GAs) are well-known for their capability to opt...
Malcolm J. A. Strens
137
Voted
ECML
2006
Springer
15 years 3 months ago
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
Sébastien Jodogne, Justus H. Piater
AIPR
2005
IEEE
15 years 5 months ago
Hyperspectral Detection Algorithms: Operational, Next Generation, on the Horizon
Abstract—The multi-band target detection algorithms implemented in hyperspectral imaging systems represent perhaps the most successful example of image fusion. A core suite of su...
A. Schaum
IROS
2006
IEEE
135views Robotics» more  IROS 2006»
15 years 5 months ago
On the Capture of Tumbling Satellite by a Space Robot
— This paper deals with problems related to the capture of a tumbling satellite by a space robot. The minimization of the base attitude deviation before and after the contact wit...
Kazuya Yoshida, Dimitar Dimitrov, Hiroki Nakanishi
78
Voted
PG
2002
IEEE
15 years 4 months ago
Facial Expression Space Learning
Animation of facial speech and expressions has experienced increased attention recently. Most current research focuses on techniques for capturing, synthesizing, and retargeting f...
Erika Chuang, Hrishi Deshpande, Christoph Bregler