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ATAL
2005
Springer
13 years 11 months ago
Improving reinforcement learning function approximators via neuroevolution
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Shimon Whiteson
ICS
2007
Tsinghua U.
14 years 3 days ago
A study of process arrival patterns for MPI collective operations
Process arrival pattern, which denotes the timing when different processes arrive at an MPI collective operation, can have a significant impact on the performance of the operatio...
Ahmad Faraj, Pitch Patarasuk, Xin Yuan
GECCO
2009
Springer
146views Optimization» more  GECCO 2009»
14 years 16 days ago
Analyzing the landscape of a graph based hyper-heuristic for timetabling problems
Hyper-heuristics can be thought of as “heuristics to choose heuristics”. They are concerned with adaptively finding solution methods, rather than directly producing a solutio...
Gabriela Ochoa, Rong Qu, Edmund K. Burke
CASES
2010
ACM
13 years 4 months ago
Balancing memory and performance through selective flushing of software code caches
Dynamic binary translators (DBTs) are becoming increasingly important because of their power and flexibility. However, the high memory demands of DBTs present an obstacle for all ...
Apala Guha, Kim M. Hazelwood, Mary Lou Soffa
RTSS
2006
IEEE
13 years 12 months ago
Design of Location Service for a Hybrid Network of Mobile Actors and Static Sensors
Location services are essential to many applications running on a hybrid of wirelessly-networked mobile actors and static sensors, such as surveillance systems and the Pursuer and...
Zhigang Chen, Min Gyu Cho, Kang G. Shin