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TSMC
2008
79views more  TSMC 2008»
15 years 27 days ago
Issues on Stability of ADP Feedback Controllers for Dynamical Systems
Abstract--This paper traces the development of neuralnetwork (NN)-based feedback controllers that are derived from the principle of adaptive/approximate dynamic programming (ADP) a...
S. N. Balakrishnan, Jie Ding, Frank L. Lewis
100
Voted
KBS
2007
130views more  KBS 2007»
15 years 26 days ago
A machine learning approach to two-voice counterpoint composition
Algorithmic composition of musical pieces is one of the most popular areas of computer aided music research. Various attempts have been made successfully in the area of music comp...
Kamil Adiloglu, Ferda Nur Alpaslan
ETT
2002
89views Education» more  ETT 2002»
15 years 23 days ago
Delay analysis of a probabilistic priority discipline
In computer networks, the Strict Priority (SP) discipline is perhaps the most common and simplest method to schedule packets from different classes of applications, each with diver...
Yuming Jiang, Chen-Khong Tham, Chi Chung Ko
161
Voted
AI
1998
Springer
15 years 21 days ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
147
Voted
CG
1999
Springer
15 years 20 days ago
A distributed device diagnostics system utilizing augmented reality and 3D audio
Augmented Reality brings technology developed for virtual environments into the real world. This approach can be used to provide instructions for routine maintenance and error diag...
Reinhold Behringer, Steven Chen, Venkataraman Sund...