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» Apprenticeship learning via inverse reinforcement learning
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85
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CIMCA
2006
IEEE
15 years 4 months ago
Multi-Agent Coalition Formation for Long-Term Task or Mobile Network
Coalition formation is a process to form a group and solve a problem via cooperation. Because of the rising of network, each computing device can communicate through network. We c...
Hsiu-Hui Lee, Chung-Hsien Chen
86
Voted
CIS
2005
Springer
15 years 3 months ago
An RLS-Based Natural Actor-Critic Algorithm for Locomotion of a Two-Linked Robot Arm
Recently, actor-critic methods have drawn much interests in the area of reinforcement learning, and several algorithms have been studied along the line of the actor-critic strategy...
Jooyoung Park, Jongho Kim, Daesung Kang
JCM
2006
95views more  JCM 2006»
14 years 10 months ago
A Learning-based Adaptive Routing Tree for Wireless Sensor Networks
One of the most common communication patterns in sensor networks is routing data to a base station, while the base station can be either static or mobile. Even in static cases, a s...
Ying Zhang, Qingfeng Huang
JNW
2006
63views more  JNW 2006»
14 years 10 months ago
MAC Contention in a Wireless LAN with Noncooperative Anonymous Stations
In ad hoc wireless LANs populated by mutually impenetrable groups of anonymous stations, honest stations are prone to "bandwidth stealing" by selfish stations. The proble...
Jerzy Konorski
107
Voted
IAT
2010
IEEE
14 years 8 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...