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Recent Additions:

J. Gunther, E. Reichensdo, P. Pilarski, K. Diepold. "Interpretable PID parameter tuning for control engineering using general dynamic neural networks: An extensive comparison". PLoS One, (ed: Yanzheng Zhu), 15(12), pp e0243320, December 2020. PDFview
C. Sherstan, P. Pilarski. "Multilayer General Value Functions for Robotic Prediction and Control". International Conference on Intelligent Robots and Systems, September 2014. PDFview
K. Chan, M. Dawson, A. Edwards, J. Hebert, R. Sutton, P. Pilarski. "Adaptive Switching in Practice: Improving Myoelectric Prosthesis Performance through Reinforcement Learning". Myoelectric Control Symposium, pp 66-70, August 2014. PDFview
M. Dawson, C. Sherstan, J. Carey, J. Hebert, P. Pilarski. "Development of the Bento Arm: An Improved Robotic Arm for Myoelectric Training and Research". Myoelectric Control Symposium, pp 57-61, August 2014. view
A. Koop, A. Kearney, M. Bowling, P. Pilarski. "Dealing with Changing Contexts in Myoelectric Control". Myoelectric Control Symposium, pp 113-116, August 2014. view
J. Gunther, P. Pilarski, G. Helfrich, H. Shen, K. Diepold. "First Steps Towards an Intelligent Laser Welding Architecture Using Deep Neural Networks and Reinforcement Learning". Procedia Technology, 15, pp 474-483, January 2014. PDFview

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