| 2021 | IJCNN | Increased Reinforcement Learning Performance through Transfer of Representation Learned by State Prediction Model. | Alperen Tercan, Charles W. Anderson |
| 2017 | IJCNN | Can a reinforcement learning agent practice before it starts learning? | Minwoo Lee, Charles W. Anderson |
| 2016 | ICMLA | Relevance Vector Sampling for Reinforcement Learning in Continuous Action Space. | Minwoo Lee, Charles W. Anderson |
| 2015 | IJCNN | Faster reinforcement learning after pretraining deep networks to predict state dynamics. | Charles W. Anderson, Minwoo Lee, Daniel L. Elliott |
| 2011 | IJCNN | Classification of EEG during imagined mental tasks by forecasting with Elman Recurrent Neural Networks. | Elliott M. Forney, Charles W. Anderson |
| 2010 | CloudCom | Analyzing Electroencephalograms Using Cloud Computing Techniques. | Kathleen Ericson, Shrideep Pallickara, Charles W. Anderson |
| 2003 | CVPR | EEG Subspace Representations and Feature Selection for Brain-Computer Interfaces. | Charles W. Anderson, Michael J. Kirby |
| 2000 | ICML | Behavioral Cloning of Student Pilots with Modular Neural Networks. | Charles W. Anderson, Bruce A. Draper, David A. Peterson |
| 1999 | IWANN | Identifying Mental Tasks from Spontaneous EEG: Signal Representation and Spatial Analysis. | Charles W. Anderson |
| 1999 | IWANN | Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning. | R. Matthew Kretchmar, Charles W. Anderson |
| 1999 | IWANN | EEG-based Cognitive Task Classification with ICA and Neural Networks. | David A. Peterson, Charles W. Anderson |
| 1994 | ASSETS | EEG as a means of communication: preliminary experiments in EEG analysis using neural networks. | Charles W. Anderson, Saikumar V. Devulapalli, Erik A. Stolz |
| 1989 | ICML | Tower of Hanoi with Connectionist Networks: Learning New Features. | Charles W. Anderson |