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ICML
1996
IEEE
14 years 17 days ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos

Presentation
2175views
15 years 9 months ago
Robust Robotic Path Planning Using Level Sets
In robotic navigation, path planning is aimed at getting the optimum collision-free path between a starting and target locations. The optimality criterion depends on the surround...
M. Sabry Hassouna
POPL
2006
ACM
14 years 8 months ago
Simplifying reductions
We present optimization techniques for high level equational programs that are generalizations of affine control loops (ACLs). Significant parts of the SpecFP and PerfectClub benc...
Gautam Gupta, Sanjay V. Rajopadhye
SIAMJO
2011
13 years 2 months ago
Adaptive Multilevel Inexact SQP Methods for PDE-Constrained Optimization
We present a class of inexact adaptive multilevel trust-region SQP-methods for the efficient solution of optimization problems governed by nonlinear partial differential equations...
J. Carsten Ziems, Stefan Ulbrich
ROBIO
2006
IEEE
129views Robotics» more  ROBIO 2006»
14 years 2 months ago
Learning Utility Surfaces for Movement Selection
— Humanoid robots are highly redundant systems with respect to the tasks they are asked to perform. This redundancy manifests itself in the number of degrees of freedom of the ro...
Matthew Howard, Michael Gienger, Christian Goerick...