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ECML
2006
Springer
15 years 10 months ago
Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions
We target the problem of closed-loop learning of control policies that map visual percepts to continuous actions. Our algorithm, called Reinforcement Learning of Joint Classes (RLJ...
Sébastien Jodogne, Justus H. Piater
IPL
2010
114views more  IPL 2010»
15 years 5 months ago
Alphabetic coding with exponential costs
An alphabetic binary tree formulation applies to problems in which an outcome needs to be determined via alphabetically ordered search prior to the termination of some window of o...
Michael B. Baer
ISCA
2005
IEEE
101views Hardware» more  ISCA 2005»
16 years 6 days ago
Near-Optimal Worst-Case Throughput Routing for Two-Dimensional Mesh Networks
Minimizing latency and maximizing throughput are important goals in the design of routing algorithms for interconnection networks. Ideally, we would like a routing algorithm to (a...
Daeho Seo, Akif Ali, Won-Taek Lim, Nauman Rafique,...
EUROGRAPHICS
2010
Eurographics
16 years 3 months ago
Human Motion Synthesis with Optimization-based Graphs
Continuous constrained optimization is a powerful tool for synthesizing novel human motion segments that are short. Graph-based motion synthesis methods such as motion graphs and ...
Cheng Ren, Liming Zhao, Alla Safonova
TSP
2010
15 years 1 months ago
Learning graphical models for hypothesis testing and classification
Sparse graphical models have proven to be a flexible class of multivariate probability models for approximating high-dimensional distributions. In this paper, we propose techniques...
Vincent Y. F. Tan, Sujay Sanghavi, John W. Fisher ...