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ATMOS
2010
128views Optimization» more  ATMOS 2010»
13 years 6 months ago
Robust Train Routing and Online Re-scheduling
Train Routing is a problem that arises in the early phase of the passenger railway planning process, usually several months before operating the trains. The main goal is to assign...
Alberto Caprara, Laura Galli, Leo G. Kroon, G&aacu...
ICML
2002
IEEE
14 years 8 months ago
Hierarchically Optimal Average Reward Reinforcement Learning
Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
Mohammad Ghavamzadeh, Sridhar Mahadevan
IJRR
2010
115views more  IJRR 2010»
13 years 4 months ago
Improving the Efficiency of Clearing with Multi-agent Teams
We present an anytime algorithm for coordinating multiple autonomous searchers to find a potentially adversarial target on a graphical representation of a physical environment. Th...
Geoffrey Hollinger, Sanjiv Singh, Athanasios Kehag...
SIGOPSE
2000
ACM
14 years 15 hour ago
Congestion prices as feedback signals: an approach to QoS management
Recently there has been a renewed interest in the application of economic models to the management of computational resources. Most of this interest is focused on pricing models f...
Rolf Neugebauer, Derek McAuley
JSA
2007
191views more  JSA 2007»
13 years 7 months ago
Automated memory-aware application distribution for Multi-processor System-on-Chips
Mapping of applications on a Multiprocessor System-on-Chip (MP-SoC) is a crucial step to optimize performance, energy and memory constraints at the same time. The problem is formu...
Heikki Orsila, Tero Kangas, Erno Salminen, Timo D....