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ICML
2002
IEEE
16 years 7 months ago
Learning from Scarce Experience
Searching the space of policies directly for the optimal policy has been one popular method for solving partially observable reinforcement learning problems. Typically, with each ...
Leonid Peshkin, Christian R. Shelton
ICML
2001
IEEE
16 years 7 months ago
Continuous-Time Hierarchical Reinforcement Learning
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Mohammad Ghavamzadeh, Sridhar Mahadevan
CHI
2005
ACM
16 years 6 months ago
Visualization of mappings between schemas
In this paper we describe a novel approach to the visualization of the mapping between two schemas. Current approaches to visually defining such a mapping fail when the schemas or...
George G. Robertson, Mary Czerwinski, John E. Chur...
ICIAP
2001
Springer
16 years 6 months ago
2D Shape Recognition by Hidden Markov Models
In Computer Vision, two-dimensional shape classifcation is a complex and well studied topic, often basic for three-dimensional object recognition. Object contours are a widely cho...
Manuele Bicego, Vittorio Murino
ICCAD
2006
IEEE
101views Hardware» more  ICCAD 2006»
16 years 3 months ago
Temperature-aware leakage minimization technique for real-time systems
In this paper, we study the interdependency between leakage energy and chip temperature in real-time systems. We observe that the temperature variation on chip has a large impact ...
Lin Yuan, Sean Leventhal, Gang Qu