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IJCAI
2001
13 years 9 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
APSCC
2007
IEEE
13 years 8 months ago
Joint Sink Mobility and Data Diffusion for Lifetime Optimization in Wireless Sensor Networks
Abstract— In this paper, we address the problem of lifetime optimization under storage constraint for wireless sensor networks with a mobile sink node. The problem is particularl...
Yu Gu, Hengchang Liu, Fei Song, Baohua Zhao
ICCAD
2004
IEEE
118views Hardware» more  ICCAD 2004»
14 years 4 months ago
Optimizing mode transition sequences in idle intervals for component-level and system-level energy minimization
New embedded systems offer rich power management features in the form of multiple operational and non-operational power modes. While they offer mechanisms for better energy effic...
Jinfeng Liu, Pai H. Chou
LCPC
2004
Springer
14 years 1 months ago
Branch Strategies to Optimize Decision Trees for Wide-Issue Architectures
Abstract. Branch predictors are associated with critical design issues for nowadays instruction greedy processors. We study two important domains where the optimization of decision...
Patrick Carribault, Christophe Lemuet, Jean-Thomas...
ICC
2009
IEEE
105views Communications» more  ICC 2009»
14 years 2 months ago
Decentralized Control and Optimization of Networks with QoS-Constrained Services
—We consider data networks in which real-time/near real-time applications require not only successful transmission of packets from source to destination, but also specific end-to...
Iraj Saniee