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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
WWW
2008
ACM
14 years 8 months ago
Geographic web usage estimation by monitoring DNS caches
DNS is one of the most actively used distributed databases on earth, accessed by millions of people every day to transparently convert host names into IP addresses and vice versa....
Hüseyin Akcan, Torsten Suel, Hervé Br&...
INFOCOM
2006
IEEE
14 years 1 months ago
DS-PPS: A Practical Framework to Guarantee Differentiated QoS in Terabit Routers with Parallel Packet Switch
—Parallel Packet Switch (PPS) is used intensively in today’s terabit router to construct the switching fabric. Basic PPS equally deals with all of the traffic in order to achie...
Lei Shi, Bin Liu, Wenjie Li, Beibei Wu, Yunhao Liu
FLAIRS
2004
13 years 9 months ago
The Mobile Agents Integrated Field Test
The Mobile Agents model-based, distributed architecture, which integrates diverse components in a system for lunar and planetary surface operations, was extensively tested in a tw...
William J. Clancey, Maarten Sierhuis, Rich Alena, ...
COMCOM
2008
111views more  COMCOM 2008»
13 years 7 months ago
An admission control algorithm for multi-hop 802.11e-based WLANs
Recently, wireless local area network (WLAN) hotspots have been deployed in many areas (e.g., cafes, airports, university campuses). The new IEEE 802.11e standard further provides...
Yuxia Lin, Vincent W. S. Wong