Charles Anderson
机构: professor of computer science, Colorado State University. Founder Pattern Exploration, LLC.
主页: colostate.edu
每年引用次数
引用次数
引用: 13,938
H-指数: 46
I10-指数 : 97
出版物: 227
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
R. Matthew Kretchmar , Charles W. Anderson
international work conference on artificial and natural neural networks 488 -496
6
1999
Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface
David A. Peterson , James N. Knight , Michael J. Kirby , Charles W. Anderson
EURASIP Journal on Advances in Signal Processing 2005 ( 19) 3128 -3140
57
2005
Dynamic Control of Soft Robots Using Reinforcement Learning
Ben Pawlowski , Charles W. Anderson , Jianguo Zhao
Volume 2: Modeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations: Modeling, Analysis, and Control
2019
Synthesis of nonlinear control surfaces by a layered associative search network
Andrew G. Barto , Charles W. Anderson , Richard S. Sutton
Biological Cybernetics 43 ( 3) 175 -185
32
1982
Failure-resilient real-time processing of health streams
Kathleen Ericson , Shrideep Pallickara , Charles W. Anderson
Concurrency and Computation: Practice and Experience 27 ( 7) 1695 -1717
2015
Auditory priming improves neural synchronization in auditory-motor entrainment
Jewel E. Crasta , Michael H. Thaut , Charles W. Anderson , Patricia L. Davies
Neuropsychologia 117 102 -112
12
2018
Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks
Elliott M. Forney , Charles W. Anderson
The 2011 International Joint Conference on Neural Networks 2749 -2755
26
2011
Restricted gradient-descent algorithm for value-function approximation in reinforcement learning
André da Motta Salles Barreto , Charles W. Anderson
Artificial Intelligence 172 ( 4) 454 -482
39
2008
Effects of Variations in Neural Network Topology and Output Averaging on the Discrimination of Mental Tasks from Spontaneous Electroencephalogram
Charles W. Anderson
Journal of intelligent systems 7 165 -190
29
1997
EEG-based cognitive task classification with ICA and neural networks
David A. Peterson , Charles W. Anderson
international work-conference on artificial and natural neural networks 265 -272
5
1999
Identifying mental tasks from spontaneous EEG: Signal representation and spatial analysis
Charles W. Anderson
international work-conference on artificial and natural neural networks 228 -237
1999
Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks
Charles W Anderson , Peter Michael Young , Michael R Buehner , James N Knight
IEEE Transactions on Neural Networks 18 ( 4) 993 -1002
32
2007
Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling.
Carol A. Seger , Erik J. Peterson , Corinna M. Cincotta , Dan Lopez-Paniagua
NeuroImage 50 ( 2) 644 -656
69
2010
Tower of Hanoi with connectionist networks: learning new features
Charles W. Anderson
international conference on machine learning 345 -349
7
1989
Workshops of the Fifth International Brain-Computer Interface Meeting: Defining the Future
Jane E Huggins , Christoph Guger , Brendan Allison , Charles W Anderson
Brain computer interfaces (Abingdon, England) 1 ( 1) 27 -49
28
2014
Workshops of the seventh international brain-computer interface meeting: not getting lost in translation
Jane E. Huggins , Christoph Guger , Erik Aarnoutse , Brendan Allison
Brain computer interfaces (Abingdon, England) 6 ( 3) 71 -101
3
2019
Workshops of the Sixth International Brain–Computer Interface Meeting: brain–computer interfaces past, present, and future
Jane E Huggins , Christoph Guger , Mounia Ziat , Thorsten O Zander
Brain computer interfaces (Abingdon, England) 4 ( 1) 3 -36
12
2017
Faster reinforcement learning after pretraining deep networks to predict state dynamics
Charles W Anderson , Minwoo Lee , Daniel L Elliott ,
international joint conference on neural network 1 -7
30
2015
Can a reinforcement learning agent practice before it starts learning?
Minwoo Lee , Charles W Anderson ,
2017 International Joint Conference on Neural Networks (IJCNN) 4006 -4013
2
2017
Neural network approach to stream-aquifer modeling for improved river basin management
Enrique Triana , John W. Labadie , Timothy K. Gates , Charles W. Anderson
Journal of Hydrology 391 ( 3) 235 -247
14
2010
Richard S. Sutton Andrew Barto Peter Young Elliott Forney Patricia L Davies Imme Ebert-Uphoff Dean Krusienski Klaus-Robert Müller Elizabeth Barnes Sudeep Pasricha Deon Garrett Daniel Elliott L. Darrell Whitley Rajarshi Das James Hurrell Shrideep Pallickara Moritz Grosse-Wentrup Indrakshi Ray Hossein Shirazi kai joshua miller