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» Learning Recursive Control Programs from Problem Solving
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HYBRID
2009
Springer
14 years 2 months ago
Optimal Boundary Control of Convention-Reaction Transport Systems with Binary Control Functions
We investigate a new approach for solving boundary control problems for dynamical systems that are governed by transport equations, when the control function is restricted to binar...
Falk M. Hante, Günter Leugering
AIPS
2008
13 years 9 months ago
Learning Heuristic Functions through Approximate Linear Programming
Planning problems are often formulated as heuristic search. The choice of the heuristic function plays a significant role in the performance of planning systems, but a good heuris...
Marek Petrik, Shlomo Zilberstein
IOR
2006
126views more  IOR 2006»
13 years 7 months ago
A New Linear Programming Approach to Radiation Therapy Treatment Planning Problems
We consider the problem of radiation therapy treatment planning for cancer patients. During radiation therapy, beams of radiation pass through a patient, killing both cancerous an...
H. Edwin Romeijn, Ravindra K. Ahuja, James F. Demp...
ICONIP
2010
13 years 5 months ago
Learning Basis Representations of Inverse Dynamics Models for Real-Time Adaptive Control
Abstract. In this paper, we propose a novel approach for adaptive control of robotic manipulators. Our approach uses a representation of inverse dynamics models learned from a vari...
Yasuhito Horiguchi, Takamitsu Matsubara, Masatsugu...
IJCAI
2007
13 years 8 months ago
Transferring Learned Control-Knowledge between Planners
As any other problem solving task that employs search, AI Planning needs heuristics to efficiently guide the problem-space exploration. Machine learning (ML) provides several tec...
Susana Fernández, Ricardo Aler, Daniel Borr...