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PKDD
2009
Springer
129views Data Mining» more  PKDD 2009»
15 years 9 months ago
Considering Unseen States as Impossible in Factored Reinforcement Learning
Abstract. The Factored Markov Decision Process (FMDP) framework is a standard representation for sequential decision problems under uncertainty where the state is represented as a ...
Olga Kozlova, Olivier Sigaud, Pierre-Henri Wuillem...
120
Voted
IROS
2006
IEEE
93views Robotics» more  IROS 2006»
15 years 8 months ago
Jacobian Learning Methods for Tasks Sequencing in Visual Servoing
Abstract— In this paper, the coupling between Jacobian learning and task sequencing through the redundancy approach is studied. It is well known that visual servoing is robust to...
Nicolas Mansard, Manuel Lopes, José Santos-...
130
Voted
CIA
2006
Springer
15 years 6 months ago
Learning to Negotiate Optimally in Non-stationary Environments
Abstract. We adopt the Markov chain framework to model bilateral negotiations among agents in dynamic environments and use Bayesian learning to enable them to learn an optimal stra...
Vidya Narayanan, Nicholas R. Jennings
CAV
2010
Springer
176views Hardware» more  CAV 2010»
15 years 5 months ago
Lazy Annotation for Program Testing and Verification
Abstract. We describe an interpolant-based approach to test generation and model checking for sequential programs. The method generates Floyd/Hoare style annotations of the program...
Kenneth L. McMillan
ECCV
2008
Springer
16 years 4 months ago
An Incremental Learning Method for Unconstrained Gaze Estimation
Abstract. This paper presents an online learning algorithm for appearancebased gaze estimation that allows free head movement in a casual desktop environment. Our method avoids the...
Yusuke Sugano, Yasuyuki Matsushita, Yoichi Sato, H...