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FLAIRS
1998
13 years 9 months ago
Analytical Design of Reinforcement Learning Tasks
Reinforcement learning (RL) problems constitute an important class of learning and control problems faced by artificial intelligence systems. In these problems, one is faced with ...
Robert E. Smith
WINET
2010
144views more  WINET 2010»
13 years 6 months ago
Cross-layer quality-driven adaptation for scheduling heterogeneous multimedia over 3G satellite networks
Wireless networks are experiencing a paradigm shift from focusing on the traditional data transfer to accommodating the rapidly increasing multimedia traffic. Hence, their schedul...
Hongfei Du, Xiaozheng Huang, Jie Liang, Jiangchuan...
MOBICOM
2009
ACM
14 years 2 months ago
Optimal beam scheduling for multicasting in wireless networks
We consider the problem of efficient link-layer multicasting in wireless networks with switched beamforming antennas. The inherent tradeoff between multicasting and beamforming ...
Karthikeyan Sundaresan, Kishore Ramachandran, Samp...
IUI
2005
ACM
14 years 1 months ago
Active preference learning for personalized calendar scheduling assistance
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....
GECCO
2010
Springer
233views Optimization» more  GECCO 2010»
14 years 23 days ago
Evolutionary-based conflict-free scheduling of collective communications on spidergon NoCs
The Spidergon interconnection network has become popular recently in multiprocessor systems on chips. To the best of our knowledge, algorithms for collective communications (CC) h...
Jirí Jaros, Vaclav Dvorak