Patrick M. Pilarski
TitleCited byYear
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
2222011
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
1202014
Model-Free Reinforcement Learning with Continuous Action in Practice
T Degris, PM Pilarski, RS Sutton
2012 American Control Conference (ACC), 2177–2182, 2012
962012
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, 1-7, 2011
962011
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
952006
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
682007
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
542014
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
512013
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
432012
True online temporal-difference learning
H Van Seijen, AR Mahmood, PM Pilarski, MC Machado, RS Sutton
The Journal of Machine Learning Research 17 (1), 5057-5096, 2016
402016
An adaptable microvalving system for on-chip polymerase chain reactions
PM Pilarski, S Adamia, CJ Backhouse
Journal of immunological methods 305 (1), 48-58, 2005
352005
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
342013
Tuning-free step-size adaptation
AR Mahmood, RS Sutton, T Degris, PM Pilarski
2012 IEEE International Conference on Acoustics, Speech and Signal†…, 2012
332012
Intelligent laser welding through representation, prediction, and control learning: An architecture with deep neural networks and reinforcement learning
J GŁnther, PM Pilarski, G Helfrich, H Shen, K Diepold
Mechatronics 34, 1-11, 2016
322016
Inherited and acquired variations in the hyaluronan synthase 1 (HAS1) gene may contribute to disease progression in multiple myeloma and Waldenstrom macroglobulinemia
S Adamia, AA Reichert, H Kuppusamy, J Kriangkum, A Ghosh, JJ Hodges, ...
Blood 112 (13), 5111-5121, 2008
322008
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
302016
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 123 (18), 2816-2825, 2014
262014
First steps towards an intelligent laser welding architecture using deep neural networks and reinforcement learning
J GŁnther, PM Pilarski, G Helfrich, H Shen, K Diepold
Procedia Technology 15, 474-483, 2014
262014
Development of the Bento Arm: An Improved Robotic Arm for Myoelectric Training and Research
MR Dawson, C Sherstan, JP Carey, JS Hebert, PM Pilarski
MEC '14: Myoelectric Controls Symposium, 60-64, 2014
232014
A swarm-based system for object recognition
T Mirzayans, N Parimi, P Pilarski, C Backhouse, L Wyard-Scott, P Musilek
Neural Network World 15 (3), 243-255, 2005
222005
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Articles 1–20