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2007
176views Robotics» more  RSS 2007»
13 years 9 months ago
Active Policy Learning for Robot Planning and Exploration under Uncertainty
Abstract— This paper proposes a simulation-based active policy learning algorithm for finite-horizon, partially-observed sequential decision processes. The algorithm is tested i...
Ruben Martinez-Cantin, Nando de Freitas, Arnaud Do...
CDC
2009
IEEE
113views Control Systems» more  CDC 2009»
13 years 11 months ago
A switched system approach to scheduling of networked control systems with communication constraints
This paper presents a scheduling strategy for a collection of discrete-time networked control systems (NCSs) subjected to communication constraints. Communication constraints under...
Shi-Lu Dai, Hai Lin, Shuzhi Sam Ge
MP
2008
99views more  MP 2008»
13 years 7 months ago
Efficient robust optimization for robust control with constraints
This paper proposes an efficient computational technique for the optimal control of linear discrete-time systems subject to bounded disturbances with mixed polytopic constraints o...
Paul J. Goulart, Eric C. Kerrigan, Daniel Ralph
CDC
2010
IEEE
136views Control Systems» more  CDC 2010»
13 years 2 months ago
Pathologies of temporal difference methods in approximate dynamic programming
Approximate policy iteration methods based on temporal differences are popular in practice, and have been tested extensively, dating to the early nineties, but the associated conve...
Dimitri P. Bertsekas
ICRA
2008
IEEE
197views Robotics» more  ICRA 2008»
14 years 2 months ago
Approximate optimal control of the compass gait on rough terrain
Abstract— In this paper, we explore the capabilities of actuated models of the compass gait walker on rough terrain. We solve for the optimal high-level feedback policy to negoti...
Katie Byl, Russ Tedrake