Charles W. Anderson

Publication Activity (10 Years)

Years Active: 1983-2023
Publications (10 Years): 15

Top Topics

Gradient Boosting

Continuous Action

Reinforcement Learning

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Daniel L. Elliott, Charles W. Anderson
The Wisdom of the Crowd: Reliable Deep Reinforcement Learning Through Ensembles of Q-Functions. IEEE Trans. Neural Networks Learn. Syst. 34 (1) (2023)
Charles W. Anderson, Jason Stock
An Interpretable Model of Climate Change Using Correlative Learning. CoRR (2022)
Alperen Tercan, Charles W. Anderson
Increased Reinforcement Learning Performance through Transfer of Representation Learned by State Prediction Model. IJCNN (2021)
Saleh I. Alzahrani, Charles W. Anderson
A Comparison of Conventional and Tri-Polar EEG Electrodes for Decoding Real and Imaginary Finger Movements from One Hand. Int. J. Neural Syst. 31 (9) (2021)
Andrew G. Barto, Richard S. Sutton, Charles W. Anderson
Looking Back on the Actor-Critic Architecture. IEEE Trans. Syst. Man Cybern. Syst. 51 (1) (2021)
V. Ratna Saripalli, Dibyajyoti Pati, Michael Potter, Gopal Avinash, Charles W. Anderson
AI-Assisted Annotator Using Reinforcement Learning. SN Comput. Sci. 1 (6) (2020)
Daniel L. Elliott, K. C. Santosh, Charles W. Anderson
Gradient boosting in crowd ensembles for Q-learning using weight sharing. Int. J. Mach. Learn. Cybern. 11 (10) (2020)
V. Ratna Saripalli, Gopal Avinash, Charles W. Anderson
AI Assisted Annotator using Reinforcement Learning. CoRR (2019)
Susan A. Yoon, Charles W. Anderson, Kira J. Baker-Doyle, Maarten De Laat, Elizabeth Xeng de los Santos, Kenneth A. Frank, Megan Hopkins, Qinyun Lin, Stefanie Marshall, Katie A. Miller, Femke Nijland, William R. Penuel, Matthew Shirrell, Rafi Santo, Bieke Schreurs, James P. Spillane, Daniël van Amersfoort, Latricia Chanel Whitfield
Networked by Design: Interventions for Teachers to Develop Social Capital. ICLS (2018)
Minwoo Lee, Charles W. Anderson
Can a reinforcement learning agent practice before it starts learning? IJCNN (2017)
Minwoo Lee, Charles W. Anderson
Relevance Vector Sampling for Reinforcement Learning in Continuous Action Space. ICMLA (2016)
Nancy M. Amato, Charles W. Anderson, Gregory S. Chirikjian, Hamidreza Chitsaz, Vishnu R. Desaraju, Chinwe Ekenna, Kris K. Hauser, Geoffrey A. Hollinger, Reza Iraji, Minwoo Lee, Qianli Ma, Seth McCammon, Nathan Michael, Shawna L. Thomas, Diane Uwacu, Yan Yan
Proceedings of the 1st International Workshop on Robot Learning and Planning (RLP 2016). CoRR (2016)
Charles W. Anderson, Minwoo Lee, Daniel L. Elliott
Faster reinforcement learning after pretraining deep networks to predict state dynamics. IJCNN (2015)
Sudeep Pasricha, Viney Ugave, Charles W. Anderson, Qi Han
LearnLoc: A framework for smart indoor localization with embedded mobile devices. CODES+ISSS (2015)
Kathleen Ericson, Shrideep Pallickara, Charles W. Anderson
Failure-resilient real-time processing of health streams. Concurr. Comput. Pract. Exp. 27 (7) (2015)
Daniel L. Elliott, Charles W. Anderson
Using supervised training signals of observable state dynamics to speed-up and improve reinforcement learning. ADPRL (2014)
Minwoo Lee, Charles W. Anderson
Convergent reinforcement learning control with neural networks and continuous action search. ADPRL (2014)
Brad K. Donohoo, Chris Ohlsen, Sudeep Pasricha, Yi Xiang, Charles W. Anderson
Context-Aware Energy Enhancements for Smart Mobile Devices. IEEE Trans. Mob. Comput. 13 (8) (2014)
Tadanori Fukami, Takamasa Shimada, Elliott M. Forney, Charles W. Anderson
EEG character identification using stimulus sequences designed to maximize mimimal hamming distance. EMBC (2012)
Brad K. Donohoo, Chris Ohlsen, Sudeep Pasricha, Charles W. Anderson
Exploiting spatiotemporal and device contexts for energy-efficient mobile embedded systems. DAC (2012)
Elliott M. Forney, Charles W. Anderson
Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks. IJCNN (2011)
Minwoo Lee, Charles W. Anderson, Mark DeMaria
Hurricane Prediction with Python. SciPy (2011)
Kathleen Ericson, Shrideep Pallickara, Charles W. Anderson
Analyzing Electroencephalograms Using Cloud Computing Techniques. CloudCom (2010)
Carol A. Seger, Erik J. Peterson, Corinna M. Cincotta, Dan Lopez-Paniagua, Charles W. Anderson
Dissociating the contributions of independent corticostriatal systems to visual categorization learning through the use of reinforcement learning modeling and Granger causality modeling. NeuroImage 50 (2) (2010)
Michael Anderson, Michael R. Buehner, Peter Michael Young, Douglas C. Hittle, Charles W. Anderson, Jilin Tu, David Hodgson
MIMO Robust Control for HVAC Systems. IEEE Trans. Control. Syst. Technol. 16 (3) (2008)
André da Motta Salles Barreto, Charles W. Anderson
Restricted gradient-descent algorithm for value-function approximation in reinforcement learning. Artif. Intell. 172 (4-5) (2008)
Charles W. Anderson, Peter Michael Young, Michael R. Buehner, James N. Knight, K. A. Bush, Douglas C. Hittle
Robust Reinforcement Learning Control Using Integral Quadratic Constraints for Recurrent Neural Networks. IEEE Trans. Neural Networks 18 (4) (2007)
David A. Peterson, James N. Knight, Michael J. Kirby, Charles W. Anderson, Michael H. Thaut
Feature Selection and Blind Source Separation in an EEG-Based Brain-Computer Interface. EURASIP J. Adv. Signal Process. 2005 (19) (2005)
Charles W. Anderson, Michael J. Kirby
EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces. CVPR Workshops (2003)
Michael L. Anderson, Peter Michael Young, Douglas C. Hittle, Charles W. Anderson, Jililn Tu, David Hodgson
MIMO robust control for heating, ventilating and air conditioning (HVAC) systems. CDC (2002)
R. Matthew Kretchmar, Peter Michael Young, Charles W. Anderson, Douglas C. Hittle, Michael L. Anderson, Christopher C. Delnero
Robust reinforcement learning control. ACC (2001)
Charles W. Anderson, Bruce A. Draper, David A. Peterson
Behavioral Cloning of Student Pilots with Modular Neural Networks. ICML (2000)
R. Matthew Kretchmar, Charles W. Anderson
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning. IWANN (1) (1999)
David A. Peterson, Charles W. Anderson
EEG-based Cognitive Task Classification with ICA and Neural Networks. IWANN (2) (1999)
Charles W. Anderson
Identifying Mental Tasks from Spontaneous EEG: Signal Representation and Spatial Analysis. IWANN (2) (1999)
Charles W. Anderson, Douglas C. Hittle, Alon D. Katz, R. Matthew Kretchmar
Synthesis of reinforcement learning, neural networks and PI control applied to a simulated heating coil. Artif. Intell. Eng. 11 (4) (1997)
R. Matthew Kretchmar, Charles W. Anderson
Comparison of CMACs and radial basis functions for local function approximators in reinforcement learning. ICNN (1997)
Mark R. Stevens, Charles W. Anderson, J. Ross Beveridge
Efficient indexing for object recognition using large networks. ICNN (1997)
Charles W. Anderson, Saikumar V. Devulapalli, Erik A. Stolz
Determining Mental State from EEG Signals Using Parallel Implementations of Neural Networks. Sci. Program. 4 (3) (1995)
Charles W. Anderson, Saikumar V. Devulapalli, Erik A. Stolz
EEG as a means of communication: preliminary experiments in EEG analysis using neural networks. ASSETS (1994)
Charles W. Anderson
Q-Learning with Hidden-Unit Restarting. NIPS (1992)
Charles W. Anderson
Tower of Hanoi with Connectionist Networks: Learning New Features. ML (1989)
Andrew G. Barto, Richard S. Sutton, Charles W. Anderson
Neuronlike adaptive elements that can solve difficult learning control problems. IEEE Trans. Syst. Man Cybern. 13 (5) (1983)