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» Iterative Learning Control - Monotonicity and Optimization
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AAAI
1994
14 years 11 months ago
Case-Based Acquisition of User Preferences for Solution Improvement in Ill-Structured Domains
1 We have developed an approach to acquire complicated user optimization criteria and use them to guide iterative solution improvement. The eectiveness of the approach was tested ...
Katia P. Sycara, Kazuo Miyashita
IJRR
2008
139views more  IJRR 2008»
14 years 9 months ago
Learning to Control in Operational Space
One of the most general frameworks for phrasing control problems for complex, redundant robots is operational space control. However, while this framework is of essential importan...
Jan Peters, Stefan Schaal
WSC
2004
14 years 11 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
AGI
2011
14 years 1 months ago
Reinforcement Learning and the Bayesian Control Rule
We present an actor-critic scheme for reinforcement learning in complex domains. The main contribution is to show that planning and I/O dynamics can be separated such that an intra...
Pedro Alejandro Ortega, Daniel Alexander Braun, Si...
ICC
2007
IEEE
125views Communications» more  ICC 2007»
15 years 4 months ago
A Delay-Bounded Dynamic Interactive Power Control Algorithm for VANETs
— To enable real-time and robust message delivery, the highly mobile Vehicular Ad Hoc Networks (VANETs) call for comprehensive investigation on the dynamic power control effects ...
Chunxiao Chigan, Jialiang Li