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AAAI
2007
13 years 9 months ago
Optimizing Anthrax Outbreak Detection Using Reinforcement Learning
The potentially catastrophic impact of a bioterrorist attack makes developing effective detection methods essential for public health. In the case of anthrax attack, a delay of ho...
Masoumeh T. Izadi, David L. Buckeridge
IEEEPACT
2008
IEEE
14 years 1 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
ICML
2007
IEEE
14 years 8 months ago
Reinforcement learning by reward-weighted regression for operational space control
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
Jan Peters, Stefan Schaal
WSC
2004
13 years 8 months ago
Simulation-Based Advanced WIP Management and Control in Semiconductor Manufacturing
We develop a hierarchical distributed production planning and control methodology, called DISCS, for a large and unstable semiconductor manufacturing process. The upper layer of D...
Kazuo Miyashita, Tsukasa Okazaki, Hirofumi Matsuo
AUTOMATICA
1999
96views more  AUTOMATICA 1999»
13 years 7 months ago
Optimization of kanban-based manufacturing systems
We develop and analyze an algorithm to maximize the throughput of a serial kanbanbased manufacturing system with arbitrary arrival and service process distributions by adjusting t...
Christos G. Panayiotou, Christos G. Cassandras