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AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
ANSS
2006
IEEE
14 years 1 months ago
Modeling and Optimization for the Design of IMS Networks
The IP Multimedia Subsystem (IMS) is envisioned as the solution for the next generation multimedia rich communication. Based on an open IP infrastructure, it enables convergence o...
Nisha Rajagopal, Michael Devetsikiotis
MOBIHOC
2007
ACM
14 years 7 months ago
Approximation algorithms for longest-lived directional multicast communications in WANETs
Several centralized and distributed algorithms have been recently proposed to maximize the multicast lifetime for directional communications in wireless ad-hoc networks. Their per...
Song Guo, Oliver W. W. Yang, Victor C. M. Leung
CGA
2008
13 years 8 months ago
Depth-of-Field Blur Effects for First-Person Navigation in Virtual Environments
This paper studies the use of visual blur effects, i.e., blurring of parts of the image fed back to the user, for First-Person-Navigations in Virtual Environments (VE). First, we ...
Sébastien Hillaire, Anatole Lécuyer,...
JCP
2008
121views more  JCP 2008»
13 years 7 months ago
Fuzzy Logic Bandwidth Prediction and Policing in a DiffServ-Aware Network
Differentiated Services (DiffServ)-aware network potentially can provide the next generation platform for multimedia support in the Internet. In this work we look at improving band...
Norashidah Md Din, Norsheila Fisal