Charles W. Anderson
Orcid: 0000-0001-7392-3840Affiliations:
- Colorado State University, Department of Computer Science, Fort Collins, CO, USA
- University of Massachusetts, Amherst, MA, USA (PhD 1986)
According to our database1,
Charles W. Anderson
authored at least 66 papers
between 1983 and 2023.
Collaborative distances:
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Bibliography
2023
The Wisdom of the Crowd: Reliable Deep Reinforcement Learning Through Ensembles of Q-Functions.
IEEE Trans. Neural Networks Learn. Syst., 2023
2022
2021
IEEE Trans. Syst. Man Cybern. Syst., 2021
A Comparison of Conventional and Tri-Polar EEG Electrodes for Decoding Real and Imaginary Finger Movements from One Hand.
Int. J. Neural Syst., 2021
Increased Reinforcement Learning Performance through Transfer of Representation Learned by State Prediction Model.
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Int. J. Mach. Learn. Cybern., 2020
Classifying environmental features from local observations of emergent swarm behavior.
IEEE CAA J. Autom. Sinica, 2020
2019
Proceedings of the Foundations and Practice of Security - 12th International Symposium, 2019
Proceedings of the Data and Applications Security and Privacy XXXIII, 2019
Advancing the Rehabilitative and Therapeutic Potential of BCI and Noninvasive Sensing Systems.
Proceedings of the Brain Art - Brain-Computer Interfaces for Artistic Expression, 2019
2018
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018
2017
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016).
CoRR, 2016
Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016
To Fear or Not to Fear That is the Question: Code Characteristics of a Vulnerable Functionwith an Existing Exploit.
Proceedings of the Sixth ACM on Conference on Data and Application Security and Privacy, 2016
2015
Optimal Nudging: Solving Average-Reward Semi-Markov Decision Processes as a Minimal Sequence of Cumulative Tasks.
CoRR, 2015
Concurr. Comput. Pract. Exp., 2015
Faster reinforcement learning after pretraining deep networks to predict state dynamics.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 International Conference on Hardware/Software Codesign and System Synthesis, 2015
2014
IEEE Trans. Mob. Comput., 2014
EEG subspace analysis and classification using principal angles for Brain-Computer Interfaces.
Proceedings of the IEEE Symposium on Computational Intelligence in Brain Computer Interfaces, 2014
Convergent reinforcement learning control with neural networks and continuous action search.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
IEEE Trans. Neural Networks Learn. Syst., 2013
2012
EEG character identification using stimulus sequences designed to maximize mimimal hamming distance.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Exploiting spatiotemporal and device contexts for energy-efficient mobile embedded systems.
Proceedings of the 49th Annual Design Automation Conference 2012, 2012
2011
Proceedings of the 10th Python in Science Conference 2011 (SciPy 2011), Austin, Texas, July 11, 2011
Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Comparison of EEG blind source separation techniques to improve the classification of P300 trials.
Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
Proceedings of the 2011 IEEE Conference on Computational Intelligence and Games, 2011
2010
Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling.
NeuroImage, 2010
Proceedings of the Cloud Computing, Second International Conference, 2010
2008
Restricted gradient-descent algorithm for value-function approximation in reinforcement learning.
Artif. Intell., 2008
2007
Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks.
IEEE Trans. Neural Networks, 2007
2005
Optimizing conductance parameters of cortical neural models via electrotonic partitions.
Neural Networks, 2005
Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface.
EURASIP J. Adv. Signal Process., 2005
2003
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2003
2002
Fast Anti-Random (FAR) Test Generation to Improve the Quality of Behavioral Model Verification.
J. Electron. Test., 2002
Proceedings of the 41st IEEE Conference on Decision and Control, 2002
2001
Proceedings of the American Control Conference, 2001
2000
Proceedings of the 1st International Symposium on Quality of Electronic Design (ISQED 2000), 2000
Behavioral Cloning of Student Pilots with Modular Neural Networks.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000
Proceedings of the IEEE International High-Level Design Validation and Test Workshop 2000, 2000
1999
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning.
Proceedings of the Foundations and Tools for Neural Modeling, 1999
Identifying Mental Tasks from Spontaneous EEG: Signal Representation and Spatial Analysis.
Proceedings of the Engineering Applications of Bio-Inspired Artificial Neural Networks, 1999
Proceedings of the 4th IEEE International Symposium on High-Assurance Systems Engineering (HASE '99), 1999
1998
Proceedings of the 3rd IEEE International Symposium on High-Assurance Systems Engineering (HASE '98), 1998
1997
Synthesis of reinforcement learning, neural networks and PI control applied to a simulated heating coil.
Artif. Intell. Eng., 1997
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
Comparison of CMACs and radial basis functions for local function approximators in reinforcement learning.
Proceedings of International Conference on Neural Networks (ICNN'97), 1997
1996
Proceedings of the 3rd IEEE International Software Metrics Symposium (METRICS 1996), 1996
1995
Determining Mental State from EEG Signals Using Parallel Implementations of Neural Networks.
Sci. Program., 1995
Proceedings of the Proceedings IEEE International Test Conference 1995, 1995
1994
EEG as a means of communication: preliminary experiments in EEG analysis using neural networks.
Proceedings of the First Annual ACM Conference on Assistive Technologies, 1994
1992
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992
1989
Tower of Hanoi with Connectionist Networks: Learning New Features.
Proceedings of the Sixth International Workshop on Machine Learning (ML 1989), 1989
1983
IEEE Trans. Syst. Man Cybern., 1983