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PPDP
1999
Springer
13 years 11 months ago
Constraint Programming in OPL
OPL is a modeling language for mathematical programming and combinatorial optimization problems. It is the rst modeling language to combine high-level algebraic and set notations f...
Pascal Van Hentenryck, Laurent Michel, Laurent Per...
IROS
2008
IEEE
122views Robotics» more  IROS 2008»
14 years 1 months ago
A probabilistic Programming by Demonstration framework handling constraints in joint space and task space
— We present a probabilistic architecture for solving generically the problem of extracting the task constraints through a Programming by Demonstration (PbD) framework and for ge...
Sylvain Calinon, Aude Billard
RTSS
1995
IEEE
13 years 10 months ago
Enhancing Real-Time Schedules to Tolerate Transient Faults
We present a scheme to guarantee that the execution of real-time tasks can tolerate transient and intermittent faults assuming any queue- based scheduling technique. The scheme is...
Sunondo Ghosh, Rami G. Melhem, Daniel Mossé
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
13 years 2 months ago
Q-learning and enhanced policy iteration in discounted dynamic programming
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
Dimitri P. Bertsekas, Huizhen Yu
CDC
2010
IEEE
151views Control Systems» more  CDC 2010»
13 years 2 months ago
Convergence of discrete-time approximations of constrained linear-quadratic optimal control problems
Abstract-- Continuous-time linear constrained optimal control problems are in practice often solved using discretization techniques, e.g. in model predictive control (MPC). This re...
Lanshan Han, M. Kanat Camlibel, Jong-Shi Pang, W. ...