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» Lazy learning for control design
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ICML
2000
IEEE
14 years 9 months ago
Combining Reinforcement Learning with a Local Control Algorithm
We explore combining reinforcement learning with a hand-crafted local controller in a manner suggested by the chaotic control algorithm of Vincent, Schmitt and Vincent (1994). A c...
Andrew G. Barto, Jette Randløv, Michael T. ...
ML
2008
ACM
135views Machine Learning» more  ML 2008»
13 years 9 months ago
Compiling pattern matching to good decision trees
We address the issue of compiling ML pattern matching to compact and efficient decisions trees. Traditionally, compilation to decision trees is optimized by (1) implementing decis...
Luc Maranget
ACML
2009
Springer
14 years 3 months ago
Automatic Choice of Control Measurements
Abstract. In experimental design, a standard approach for distinguishing experimentally induced effects from unwanted effects is to design control measurements that differ only ...
Gayle Leen, David R. Hardoon, Samuel Kaski
VLSI
2010
Springer
13 years 7 months ago
Synchronous elasticization: Considerations for correct implementation and MiniMIPS case study
—Latency insensitivity is a promising design paradigm in the nanometer era since it has potential benefits of increased modularity and robustness to variations. Synchronous elas...
Eliyah Kilada, Shomit Das, Kenneth S. Stevens
IROS
2009
IEEE
177views Robotics» more  IROS 2009»
14 years 3 months ago
A learning approach to integration of layers of a hybrid control architecture
— Hybrid deliberative-reactive control architectures are a popular and effective approach to the control of robotic navigation applications. However, the design of said architect...
Matthew Powers, Tucker R. Balch