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» Using Machine Learning to Guide Architecture Simulation
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ICC
2007
IEEE
121views Communications» more  ICC 2007»
14 years 2 months ago
Scalable Resilient Overlay Networks Using Destination-Guided Detouring
— Routing policies used in the Internet tend to be restrictive limiting communication between source-destination pairs to one route, when often better alternates exist. To avoid ...
Sameer Qazi, Tim Moors
IROS
2006
IEEE
233views Robotics» more  IROS 2006»
14 years 1 months ago
Machine-mediated Motor Skill Training Method in Haptic-enabled Chinese Handwriting Simulation System
Training of motor skill through machine-mediated method is a promising way to improve complex dexterous manipulation skill. New method of fusion between human motor skill and machi...
Dangxiao Wang, Yuru Zhang, Chong Yao
ML
2002
ACM
114views Machine Learning» more  ML 2002»
13 years 7 months ago
Building a Basic Block Instruction Scheduler with Reinforcement Learning and Rollouts
The execution order of a block of computer instructions on a pipelined machine can make a difference in running time by a factor of two or more. Compilers use heuristic schedulers...
Amy McGovern, J. Eliot B. Moss, Andrew G. Barto
ICML
1994
IEEE
13 years 11 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager
ROBOCUP
2004
Springer
97views Robotics» more  ROBOCUP 2004»
14 years 1 months ago
The UT Austin Villa 2003 Champion Simulator Coach: A Machine Learning Approach
The UT Austin Villa 2003 simulated online soccer coach was a first time entry in the RoboCup Coach Competition. In developing the coach, the main research focus was placed on trea...
Gregory Kuhlmann, Peter Stone, Justin Lallinger