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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 2 months ago
Adaptive bases for Q-learning
Abstract-- We consider reinforcement learning, and in particular, the Q-learning algorithm in large state and action spaces. In order to cope with the size of the spaces, a functio...
Dotan Di Castro, Shie Mannor
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
14 years 2 months ago
A controller for dynamic walking in bipedal robots
Abstract— This paper presents an approach for the closedloop control of actuated biped that allows natural looking and energy efficient walking. Rather than prescribe kinematic ...
David J. Braun, Michael Goldfarb
RAS
2008
150views more  RAS 2008»
13 years 7 months ago
Logic-based robot control in highly dynamic domains
In this paper we present the robot programming and planning language Readylog, a Golog dialect which was developed to support the decision making of robots acting in dynamic real-...
Alexander Ferrein, Gerhard Lakemeyer
AUTOMATICA
2008
89views more  AUTOMATICA 2008»
13 years 7 months ago
Dynamic buffer management using optimal control of hybrid systems
This paper studies a general dynamic buffer management problem with one buffer inserted between two interacting components. The component to be controlled is assumed to have multi...
Wei Zhang, Jianghai Hu
ICML
2006
IEEE
14 years 8 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh