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CORR
2010
Springer
152views Education» more  CORR 2010»
15 years 6 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
TWC
2008
120views more  TWC 2008»
15 years 6 months ago
Cooperation Enforcement and Learning for Optimizing Packet Forwarding in Autonomous Wireless Networks
In wireless ad hoc networks, autonomous nodes are reluctant to forward others' packets because of the nodes' limited energy. However, such selfishness and noncooperation ...
Charles Pandana, Zhu Han, K. J. Ray Liu
SIAMADS
2010
100views more  SIAMADS 2010»
15 years 1 months ago
Optimal Intrinsic Dynamics for Bursting in a Three-Cell Network
Previous numerical and analytical work has shown that synaptic coupling can allow a network of model neurons to synchronize despite heterogeneity in intrinsic parameter values. In ...
Justin R. Dunmyre, Jonathan E. Rubin
MOBIHOC
2009
ACM
16 years 7 months ago
Optimal monitoring in multi-channel multi-radio wireless mesh networks
Wireless mesh networks (WMN) are finding increasing usage in city-wide deployments for providing network connectivity. Mesh routers in WMNs typically use multiple wireless channel...
Dong-Hoon Shin, Saurabh Bagchi
SIGMETRICS
2006
ACM
128views Hardware» more  SIGMETRICS 2006»
16 years 10 days ago
GPS scheduling: selection of optimal weights and comparison with strict priorities
We consider a system with two service classes with heterogeneous traffic characteristics and Quality-of-Service requirements. The available bandwidth is shared between the two tra...
Pascal Lieshout, Michel Mandjes, Sem C. Borst