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ICML
2001
IEEE
14 years 8 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
CEC
2008
IEEE
14 years 2 months ago
GPU based extraction of moving objects without shadows under intensity changes
— This paper proposes a GPU based algorithm for extracting moving objects in real time. The whole process of the proposed approach is handled on GPU. GPU is used for acceleration...
Shinji Fukui, Yuji Iwahori, Robert J. Woodham
JCIT
2010
255views more  JCIT 2010»
13 years 2 months ago
Digital Watermarking Particle Swarm Optimization Based on Multi-wavelet
Watermark perceptibility and robustness must be ensured in order to enhance the practicality of digital watermarking. Taking human visual system characteristics into account fully...
Yinghui Pan
SIBGRAPI
2002
IEEE
14 years 18 days ago
Dynamic Scene Occlusion Culling Using a Regular Grid
We present an output-sensitive occlusion culling algorithm for densely occluded dynamic scenes where both the viewpoint and objects move arbitrarily. Our method works on a regular ...
Harlen Costa Batagelo, Shin-Ting Wu
HICSS
1996
IEEE
102views Biometrics» more  HICSS 1996»
13 years 12 months ago
Evaluation of Parallel Logic Simulation Using DVSIM
Parallel simulation is expected to speed up simulation run time in a signi cant way. This paper describes a framework that is used to evaluate the performance of parallel simulati...
Gerd Meister