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NIPS
2004
14 years 11 months ago
Brain Inspired Reinforcement Learning
Successful application of reinforcement learning algorithms often involves considerable hand-crafting of the necessary non-linear features to reduce the complexity of the value fu...
François Rivest, Yoshua Bengio, John Kalask...
NIPS
2001
14 years 11 months ago
The Steering Approach for Multi-Criteria Reinforcement Learning
We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
Shie Mannor, Nahum Shimkin
CEC
2010
IEEE
14 years 11 months ago
Fitness landscape analysis for evolutionary non-photorealistic rendering
The best evolutionary approach can be a difficult problem. In this work we have investigated two evolutionary representations to evolve non-photorealistic renderings: a variable-le...
Jeff Riley, Victor Ciesielski
CDC
2009
IEEE
141views Control Systems» more  CDC 2009»
14 years 11 months ago
Decentralized receding horizon control for multiple unmanned helicopters considering dynamics model
In this paper, the formation flight of multiple Unmanned Helicopter (UH) systems is researched and a new decentralized receding horizon formation control algorithm is supposed. The...
Yuqing He, Jianda Han
AMC
2008
86views more  AMC 2008»
14 years 10 months ago
Numerical solution of stochastic Nash games with state-dependent noise for weakly coupled large-scale systems
This paper discusses the infinite horizon stochastic Nash games with state-dependent noise. After establishing the asymptotic structure along with the positive semidefiniteness for...
Muneomi Sagara, Hiroaki Mukaidani, Toru Yamamoto