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111
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NECO
2007
87views more  NECO 2007»
15 years 3 months ago
Reinforcement Learning State Estimator
cal networks in the learning of abstract and effector-specific representations of motor sequences. Neuroimage. 32, 714-727. (Neuroimage Editor’s Choice Award, 2006) Daw, N. D. Do...
Jun Morimoto, Kenji Doya
131
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ICRA
2010
IEEE
130views Robotics» more  ICRA 2010»
15 years 2 months ago
Maintaining connectivity in environments with obstacles
Abstract— Robotic routers (mobile robots with wireless communication capabilities) can create an adaptive wireless network and provide communication services for mobile users ond...
Onur Tekdas, Patrick A. Plonski, Nikhil Karnad, Vo...
136
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INFFUS
2010
121views more  INFFUS 2010»
15 years 2 months ago
The statistical mechanics of belief sharing in multi-agent systems
- Many exciting, emerging applications require that a group of agents share a coherent view of the world given spatial distribution, incomplete and uncertain sensors, and communica...
Robin Glinton, Katia P. Sycara, David Scerri, Paul...
142
Voted
INFOCOM
2010
IEEE
15 years 2 months ago
SlideOR: Online Opportunistic Network Coding in Wireless Mesh Networks
—Opportunistic routing significantly increases unicast throughput in wireless mesh networks by effectively utilizing the wireless broadcast medium. With network coding, opportun...
Yunfeng Lin, Ben Liang, Baochun Li
INFOCOM
2010
IEEE
15 years 2 months ago
Truthful Least-Priced-Path Routing in Opportunistic Spectrum Access Networks
We study the problem of finding the least-priced path (LPP) between a source and a destination in opportunistic spectrum access (OSA) networks. This problem is motivated by econo...
Tao Shu, Marwan Krunz