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» Tracking in Reinforcement Learning
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147
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CORR
2010
Springer
204views Education» more  CORR 2010»
15 years 1 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon
127
Voted
NIPS
2004
15 years 4 months ago
Incremental Learning for Visual Tracking
Most existing tracking algorithms construct a representation of a target object prior to the tracking task starts, and utilize invariant features to handle appearance variation of...
Jongwoo Lim, David A. Ross, Ruei-Sung Lin, Ming-Hs...
153
Voted
ICCV
2009
IEEE
15 years 16 days ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
144
Voted
DIGITEL
2008
IEEE
15 years 4 months ago
Adaptive Educational Games: Providing Non-invasive Personalised Learning Experiences
Educational games have the potential to provide intrinsically motivating learning experiences that immerse and engage the learner. However, the much heralded benefits of education...
Neil Peirce, Owen Conlan, Vincent Wade
120
Voted
NIPS
1996
15 years 4 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair