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IJSNET
2006
145views more  IJSNET 2006»
13 years 8 months ago
RL-MAC: a reinforcement learning based MAC protocol for wireless sensor networks
:This paper introduces RL-MAC, a novel adaptive MediaAccess Control (MAC) protocol for Wireless Sensor Networks (WSN) that employs a reinforcement learning framework. Existing sche...
Zhenzhen Liu, Itamar Elhanany
GLOBECOM
2010
IEEE
13 years 6 months ago
Learning Interference Strategies in Cognitive ARQ Networks
Cognitive radios, which enable the coexistence on the same bandwidth of licensed primary and unlicensed secondary users, have the potential for dramatically increasing the efficien...
Sina Firouzabadi, Marco Levorato, Daniel O'Neill, ...
KCAP
2009
ACM
14 years 3 months ago
Interactively shaping agents via human reinforcement: the TAMER framework
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
W. Bradley Knox, Peter Stone
WEBNET
1998
13 years 10 months ago
PLATINUM: Worldwide Distributed Courseware Production, Learning and Training using MTS
: This paper presents the modular training system MTS, the PLATINUM1 -Net, a worldwide network for innovative learning and advanced training, and distributed collaborative training...
Christoph Hornung, L. Miguel Encarnaç&atild...
PARMA
2004
174views Database» more  PARMA 2004»
13 years 10 months ago
Finding Spatial Patterns in Network Data
Data on modern networks are massive and are applied in the area of monitoring and analyzing activities at the network element, network-wide, and customer and service levels for a h...
Roland Heilmann, Daniel A. Keim, Christian Panse, ...