| Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction RS Sutton, J Modayil, M Delp, T Degris, PM Pilarski, A White, D Precup 10th International Conference on Autonomous Agents and Multiagent Systems …, 2011 | 624 | 2011 |
| Model-Free Reinforcement Learning with Continuous Action in Practice T Degris, PM Pilarski, RS Sutton 2012 American Control Conference (ACC), 2177–2182, 2012 | 344 | 2012 |
| Proceedings of the first workshop on peripheral machine interfaces: going beyond traditional surface electromyography C Castellini, P Artemiadis, M Wininger, A Ajoudani, M Alimusaj, A Bicchi, ... Frontiers in neurorobotics 8, 22, 2014 | 222 | 2014 |
| Online human training of a myoelectric prosthesis controller via actor-critic reinforcement learning PM Pilarski, MR Dawson, T Degris, F Fahimi, JP Carey, RS Sutton 2011 IEEE international Conference on Rehabilitation Robotics (ICORR), 1-7, 2011 | 207 | 2011 |
| Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold Mechatronics 34, 1-11, 2016 | 197 | 2016 |
| First steps towards an intelligent laser welding architecture using deep neural networks and reinforcement learning J Günther, PM Pilarski, G Helfrich, H Shen, K Diepold Procedia Technology 15, 474-483, 2014 | 121 | 2014 |
| Small volume PCR in PDMS biochips with integrated fluid control and vapour barrier AR Prakash, S Adamia, V Sieben, P Pilarski, LM Pilarski, CJ Backhouse Sensors and Actuators B: Chemical 113 (1), 398-409, 2006 | 121 | 2006 |
| True online temporal-difference learning H Van Seijen, AR Mahmood, PM Pilarski, MC Machado, RS Sutton Journal of Machine Learning Research 17 (145), 1-40, 2016 | 120 | 2016 |
| A genome-wide aberrant RNA splicing in patients with acute myeloid leukemia identifies novel potential disease markers and therapeutic targets S Adamia, B Haibe-Kains, PM Pilarski, M Bar-Natan, S Pevzner, ... Clinical cancer research 20 (5), 1135-1145, 2014 | 118 | 2014 |
| Application of real-time machine learning to myoelectric prosthesis control: A case series in adaptive switching AL Edwards, MR Dawson, JS Hebert, C Sherstan, RS Sutton, KM Chan, ... Prosthetics and orthotics international 40 (5), 573-581, 2016 | 90 | 2016 |
| Tuning-free step-size adaptation AR Mahmood, RS Sutton, T Degris, PM Pilarski 2012 IEEE international conference on acoustics, speech and signal …, 2012 | 89 | 2012 |
| Adaptive Artificial Limbs: A Real-time Approach to Prediction and Anticipation PM Pilarski, MR Dawson, T Degris, JP Carey, KM Chan, JS Hebert, ... IEEE Robotics and Automation Magazine 20 (1), 53-64, 2013 | 88 | 2013 |
| FISH and chips: chromosomal analysis on microfluidic platforms VJ Sieben, CSD Marun, PM Pilarski, GV Kaigala, LM Pilarski, ... IET nanobiotechnology 1 (3), 27-35, 2007 | 85 | 2007 |
| Characterization of normative hand movements during two functional upper limb tasks AM Valevicius, QA Boser, EB Lavoie, GS Murgatroyd, PM Pilarski, ... PLoS One 13 (6), e0199549, 2018 | 69 | 2018 |
| Dynamic switching and real-time machine learning for improved human control of assistive biomedical robots PM Pilarski, MR Dawson, T Degris, JP Carey, RS Sutton 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and …, 2012 | 64 | 2012 |
| NOTCH2 and FLT3 gene mis-splicings are common events in patients with acute myeloid leukemia (AML): new potential targets in AML S Adamia, M Bar-Natan, B Haibe-Kains, PM Pilarski, C Bach, S Pevzner, ... Blood, The Journal of the American Society of Hematology 123 (18), 2816-2825, 2014 | 63 | 2014 |
| Using synchronized eye and motion tracking to determine high-precision eye-movement patterns during object-interaction tasks EB Lavoie, AM Valevicius, QA Boser, O Kovic, AH Vette, PM Pilarski, ... Journal of vision 18 (6), 18-18, 2018 | 56 | 2018 |
| Real-time Prediction Learning for the Simultaneous Actuation of Multiple Prosthetic Joints PM Pilarski, TB Dick, RS Sutton 2013 IEEE International Conference on Rehabilitation Robotics (ICORR), Paper …, 2013 | 55 | 2013 |
| Learning gentle object manipulation with curiosity-driven deep reinforcement learning SH Huang, M Zambelli, J Kay, MF Martins, Y Tassa, PM Pilarski, ... arXiv preprint arXiv:1903.08542, 2019 | 54 | 2019 |
| Learning from Demonstration: Teaching a Myoelectric Prosthesis with an Intact Limb via Reinforcement Learning G Vasan, PM Pilarski Proc. IEEE Int. Conf. on Rehab. Robotics (ICORR), 2017 | 50 | 2017 |
Richard S. SuttonKeen, Amii, and University of AlbertaVerified email at richsutton.com
