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» Gaussian Processes in Reinforcement Learning
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LCN
2006
IEEE
15 years 3 months ago
Sensor Networks Routing via Bayesian Exploration
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
Shuang Hao, Ting Wang
GECCO
2004
Springer
100views Optimization» more  GECCO 2004»
15 years 3 months ago
Transfer of Neuroevolved Controllers in Unstable Domains
In recent years, the evolution of artificial neural networks or neuroevolution has brought promising results in solving difficult reinforcement learning problems. But, like standa...
Faustino J. Gomez, Risto Miikkulainen
CAS
2007
87views more  CAS 2007»
14 years 9 months ago
An Accelerated Algorithm for Density Estimation in Large Databases Using Gaussian Mixtures
Today, with the advances of computer storage and technology, there are huge datasets available, offering an opportunity to extract valuable information. Probabilistic approaches ...
Alvaro Soto, Felipe Zavala, Anita Araneda
NIPS
2008
14 years 11 months ago
Signal-to-Noise Ratio Analysis of Policy Gradient Algorithms
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
John W. Roberts, Russ Tedrake
WAPCV
2007
Springer
15 years 3 months ago
Learning to Attend - From Bottom-Up to Top-Down
The control of overt visual attention relies on an interplay of bottom-up and top-down mechanisms. Purely bottom-up models may provide a reasonable account of the looking behaviors...
Hector Jasso, Jochen Triesch