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» Iterative Learning Control - Monotonicity and Optimization
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TSMC
2008
76views more  TSMC 2008»
14 years 9 months ago
Improved Adaptive-Reinforcement Learning Control for Morphing Unmanned Air Vehicles
This paper presents an improved Adaptive
John Valasek, James Doebbler, Monish D. Tandale, A...
TON
2008
139views more  TON 2008»
14 years 9 months ago
Stochastic learning solution for distributed discrete power control game in wireless data networks
Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
Yiping Xing, Rajarathnam Chandramouli
NIPS
2008
14 years 11 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
WSC
2007
15 years 3 days ago
Optimizing time warp simulation with reinforcement learning techniques
Adaptive Time Warp protocols in the literature are usually based on a pre-defined analytic model of the system, expressed as a closed form function that maps system state to cont...
Jun Wang, Carl Tropper
CORR
2010
Springer
76views Education» more  CORR 2010»
14 years 4 months ago
Power Control with Imperfect Exchanges and Applications to Spectrum Sharing
In various applications, the effect of errors in gradient-based iterations is of particular importance when seeking saddle points of the Lagrangian function associated with constra...
Nikolaos Gatsis, Georgios B. Giannakis