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AAAI
2010
13 years 10 months ago
Reinforcement Learning Via Practice and Critique Advice
We consider the problem of incorporating end-user advice into reinforcement learning (RL). In our setting, the learner alternates between practicing, where learning is based on ac...
Kshitij Judah, Saikat Roy, Alan Fern, Thomas G. Di...
FLAIRS
2009
13 years 6 months ago
Beating the Defense: Using Plan Recognition to Inform Learning Agents
In this paper, we investigate the hypothesis that plan recognition can significantly improve the performance of a casebased reinforcement learner in an adversarial action selectio...
Matthew Molineaux, David W. Aha, Gita Sukthankar
CBMS
2009
IEEE
14 years 3 months ago
Lessons learned in developing a low-cost high performance medical imaging cluster
This paper explores the usefulness of the Sony PlayStation 3 R (PS3) for medical image processing. Medical image processing often entails dealing with a large number of high resol...
Kirt D. Lillywhite, Dah-Jye Lee, Sameer Antani, Do...
WECWIS
2003
IEEE
120views ECommerce» more  WECWIS 2003»
14 years 2 months ago
Reinforcement Learning Applications in Dynamic Pricing of Retail Markets
In this paper, we investigate the use of reinforcement learning (RL) techniques to the problem of determining dynamic prices in an electronic retail market. As representative mode...
C. V. L. Raju, Y. Narahari, K. Ravikumar
CVPR
2012
IEEE
11 years 11 months ago
Adaptive object tracking by learning background context
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
Ali Borji, Simone Frintrop, Dicky N. Sihite, Laure...