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UAI
2008
13 years 8 months ago
Sparse Stochastic Finite-State Controllers for POMDPs
Bounded policy iteration is an approach to solving infinitehorizon POMDPs that represents policies as stochastic finitestate controllers and iteratively improves a controller by a...
Eric A. Hansen
AUTOMATICA
2008
74views more  AUTOMATICA 2008»
13 years 6 months ago
Policy iteration based feedback control
It is well known that stochastic control systems can be viewed as Markov decision processes (MDPs) with continuous state spaces. In this paper, we propose to apply the policy iter...
Kan-Jian Zhang, Yan-Kai Xu, Xi Chen, Xi-Ren Cao
IROS
2008
IEEE
119views Robotics» more  IROS 2008»
14 years 1 months ago
Robust stability analysis of a bilateral teleoperation system using the parameter space approach
— One of the main challenges in telerobotics is the selection of control architectures and control parameters, which are able to robustly stabilize the overall teleoperation syst...
Angelika Peer, Martin Buss
NN
2010
Springer
187views Neural Networks» more  NN 2010»
13 years 1 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
CDC
2008
IEEE
142views Control Systems» more  CDC 2008»
14 years 1 months ago
A LPV approach to control and real-time scheduling codesign: Application to a robot-arm control
— This paper deals with real-time control under computational constraints. A robust control approach to control/real-time scheduling co-design is proposed using the H∞ framewor...
Olivier Sename, Daniel Simon, Mongi Ben Gaid