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ICML
2007
IEEE
15 years 10 months ago
Multi-task reinforcement learning: a hierarchical Bayesian approach
We consider the problem of multi-task reinforcement learning, where the agent needs to solve a sequence of Markov Decision Processes (MDPs) chosen randomly from a fixed but unknow...
Aaron Wilson, Alan Fern, Soumya Ray, Prasad Tadepa...
ICTIR
2009
Springer
15 years 4 months ago
Modeling Expected Utility of Multi-session Information Distillation
Abstract. An open challenge in information distillation is the evaluation and optimization of the utility of ranked lists with respect to flexible user interactions over multiple ...
Yiming Yang, Abhimanyu Lad
ICC
2008
IEEE
138views Communications» more  ICC 2008»
15 years 4 months ago
Designing File Replication Schemes for Peer-to-Peer File Sharing Systems
—Peer-to-peer (P2P) file sharing systems are becoming increasingly popular due to their flexibility and scalability. We propose a new model to design file replication schemes ...
Jian Ni, Jie Lin, S. J. Harrington, Naveen Sharma
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
15 years 4 months ago
Real-coded ECGA for economic dispatch
In this paper, we propose a new approach that consists of the extended compact genetic algorithm (ECGA) and split-ondemand (SoD), an adaptive discretization technique, to economic...
Chao-Hong Chen, Ying-Ping Chen
PVM
2007
Springer
15 years 3 months ago
Distributed Real-Time Computing with Harness
Abstract. Modern parallel and distributed computing solutions are often built onto a “middleware” software layer providing a higher and common level of service between computat...
Emanuele Di Saverio, Marco Cesati, Christian Di Bi...