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» Approximation Algorithms for Temporal Reasoning
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CORR
2010
Springer
204views Education» more  CORR 2010»
15 years 28 days 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
115
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JMLR
2010
125views more  JMLR 2010»
14 years 9 months ago
Continuous Time Bayesian Network Reasoning and Learning Engine
We present a continuous time Bayesian network reasoning and learning engine (CTBN-RLE). A continuous time Bayesian network (CTBN) provides a compact (factored) description of a co...
Christian R. Shelton, Yu Fan, William Lam, Joon Le...
179
Voted
PSSE
2004
Springer
15 years 7 months ago
Developing and Reasoning About Probabilistic Programs in pGCL
“demonic” nondeterminism, representing abstraction from (or ignorance of) which of two program fragments will be executed. By introducing probabilistic nondeterminism into GCL,...
Annabelle McIver, Carroll Morgan
123
Voted
WDAG
2007
Springer
132views Algorithms» more  WDAG 2007»
15 years 8 months ago
Detecting Temporal Logic Predicates on Distributed Computations
Abstract. We examine the problem of detecting nested temporal predicates given the execution trace of a distributed program. We present a technique that allows efficient detection ...
Vinit A. Ogale, Vijay K. Garg
CVPR
2006
IEEE
15 years 8 months ago
Measure Locally, Reason Globally: Occlusion-sensitive Articulated Pose Estimation
Part-based tree-structured models have been widely used for 2D articulated human pose-estimation. These approaches admit efficient inference algorithms while capturing the import...
Leonid Sigal, Michael J. Black