Charles W. Anderson

According to our database1, Charles W. Anderson authored at least 53 papers between 1983 and 2021.

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Bibliography

2021
Looking Back on the Actor-Critic Architecture.
IEEE Trans. Syst. Man Cybern. Syst., 2021

2020
AI-Assisted Annotator Using Reinforcement Learning.
SN Comput. Sci., 2020

Gradient boosting in crowd ensembles for Q-learning using weight sharing.
Int. J. Mach. Learn. Cybern., 2020

Classifying environmental features from local observations of emergent swarm behavior.
IEEE CAA J. Autom. Sinica, 2020

2019
AI Assisted Annotator using Reinforcement Learning.
CoRR, 2019

Using Machine Learning to Detect Anomalies in Embedded Networks in Heavy Vehicles.
Proceedings of the Foundations and Practice of Security - 12th International Symposium, 2019

Adversarial Sampling Attacks Against Phishing Detection.
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
Networked by Design: Interventions for Teachers to Develop Social Capital.
Proceedings of the Rethinking learning in the digital age: Making the Learning Sciences count, 2018

2017
Can a reinforcement learning agent practice before it starts learning?
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

Relevance Vector Sampling for Reinforcement Learning in Continuous Action Space.
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

Failure-resilient real-time processing of health streams.
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

LearnLoc: A framework for smart indoor localization with embedded mobile devices.
Proceedings of the 2015 International Conference on Hardware/Software Codesign and System Synthesis, 2015

2014
Context-Aware Energy Enhancements for Smart Mobile Devices.
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
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.
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
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

Discount and speed/execution tradeoffs in Markov Decision Process games.
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

Analyzing Electroencephalograms Using Cloud Computing Techniques.
Proceedings of the Cloud Computing, Second International Conference, 2010

Automatic creation of tile size selection models.
Proceedings of the CGO 2010, 2010

2008
MIMO Robust Control for HVAC Systems.
IEEE Trans. Control. Syst. Technol., 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
EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces.
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

2000
Achieving the Quality of Verification for Behavioral Models with Minimum Effort.
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

1999
EEG-based Cognitive Task Classification with ICA and Neural Networks.
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

How Much Testing is Enough? Applying Stopping Rules to Behavioral Model Testing.
Proceedings of the 4th IEEE International Symposium on High-Assurance Systems Engineering (HASE '99), 1999

1998
Fast Antirandom (FAR) Test Generation.
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

Efficient indexing for object recognition using large networks.
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
Assessing Neural Networks as Guides for Testing Activities.
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

On the Use of Neural Networks to Guide Software Testing Activities.
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
Q-Learning with Hidden-Unit Restarting.
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
Neuronlike adaptive elements that can solve difficult learning control problems.
IEEE Trans. Syst. Man Cybern., 1983


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