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NIPS
2001
13 years 9 months ago
Model-Free Least-Squares Policy Iteration
We propose a new approach to reinforcement learning which combines least squares function approximation with policy iteration. Our method is model-free and completely off policy. ...
Michail G. Lagoudakis, Ronald Parr
MICCAI
2000
Springer
13 years 11 months ago
Motion-Based Robotic Instrument Targeting under C-Arm Fluoroscopy
: We present a simple and precise robot targeting method under portable x-ray fluoroscopy based on image servoing. The method is implemented for needle alignment in percutaneous pr...
Alexandru Patriciu, Dan Stoianovici, Louis L. Whit...
INFOCOM
2002
IEEE
14 years 14 days ago
Scheduling Processing Resources in Programmable Routers
—To provide flexibility in deploying new protocols and services, general-purpose processing engines are being placed in the datapath of routers. Such network processors are typi...
Prashanth Pappu, Tilman Wolf
GECCO
2006
Springer
164views Optimization» more  GECCO 2006»
13 years 11 months ago
Biobjective evolutionary and heuristic algorithms for intersection of geometric graphs
Wire routing in a VLSI chip often requires minimization of wire-length as well as the number of intersections among multiple nets. Such an optimization problem is computationally ...
Rajeev Kumar, Pramod Kumar Singh, Bhargab B. Bhatt...
NIPS
2008
13 years 9 months ago
Optimization on a Budget: A Reinforcement Learning Approach
Many popular optimization algorithms, like the Levenberg-Marquardt algorithm (LMA), use heuristic-based "controllers" that modulate the behavior of the optimizer during ...
Paul Ruvolo, Ian R. Fasel, Javier R. Movellan