Patrick M. Pilarski

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 68

Top Topics

Confidence Measures

Reinforcement Learning

Feature Relevance

Top Venues

Frontiers Robotics AI

Publications

Heather E. Williams, Jacqueline S. Hebert, Patrick M. Pilarski, Ahmed W. Shehata
A Case Series in Position-Aware Myoelectric Prosthesis Control Using Recurrent Convolutional Neural Network Classification with Transfer Learning. ICORR (2023)
Kory W. Mathewson, Adam S. R. Parker, Craig Sherstan, Ann L. Edwards, Richard S. Sutton, Patrick M. Pilarski
Communicative capital: a key resource for human-machine shared agency and collaborative capacity. Neural Comput. Appl. 35 (23) (2023)
Adam S. R. Parker, Michael R. Dawson, Patrick M. Pilarski
Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control. CoRR (2023)
Nathan J. Wispinski, Andrew Butcher, Kory Wallace Mathewson, Craig S. Chapman, Matthew M. Botvinick, Patrick M. Pilarski
Adaptive patch foraging in deep reinforcement learning agents. Trans. Mach. Learn. Res. 2023 (2023)
Alex Kearney, Anna Koop, Patrick M. Pilarski
What's a good prediction? Challenges in evaluating an agent's knowledge. Adapt. Behav. 31 (3) (2023)
Aleksandra Kalinowska, Patrick M. Pilarski, Todd D. Murphey
Embodied Communication: How Robots and People Communicate Through Physical Interaction. Annu. Rev. Control. Robotics Auton. Syst. 6 (2023)
Patrick M. Pilarski, Andrew Butcher, Elnaz Davoodi, Michael Bradley Johanson, Dylan J. A. Brenneis, Adam S. R. Parker, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White
The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents. CoRR (2022)
Kory W. Mathewson, Patrick M. Pilarski
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning. CoRR (2022)
Ana Luisa Trejos, Seyed Farokh Atashzar, Simon P. DiMaio, Patrick M. Pilarski, Mahdi Tavakoli
Editorial: Robotics, Autonomous Systems and AI for Nonurgent/Nonemergent Healthcare Delivery During and After the COVID-19 Pandemic. Frontiers Robotics AI 9 (2022)
Michael R. Dawson, Adam S. R. Parker, Heather E. Williams, Ahmed W. Shehata, Jacqueline S. Hebert, Craig S. Chapman, Patrick M. Pilarski
Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses. CoRR (2022)
Alexandra Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski
What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience. CoRR (2022)
Aleksandra Kalinowska, Elnaz Davoodi, Kory W. Mathewson, Todd D. Murphey, Patrick M. Pilarski
Towards Situated Communication in Multi-Step Interactions: Time is a Key Pressure in Communication Emergence. CogSci (2022)
Heather E. Williams, Johannes Günther, Jacqueline S. Hebert, Patrick M. Pilarski, Ahmed W. Shehata
Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden. ICORR (2022)
Nathan J. Wispinski, Andrew Butcher, Kory W. Mathewson, Craig S. Chapman, Matthew M. Botvinick, Patrick M. Pilarski
Adaptive patch foraging in deep reinforcement learning agents. CoRR (2022)
Heather E. Williams, Ahmed W. Shehata, Michael R. Dawson, Erik J. Scheme, Jacqueline S. Hebert, Patrick M. Pilarski
Recurrent Convolutional Neural Networks as an Approach to Position-Aware Myoelectric Prosthesis Control. IEEE Trans. Biomed. Eng. 69 (7) (2022)
Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub, Kory W. Mathewson, Ivana Kajic, Michael Bowling, Todd D. Murphey, Patrick M. Pilarski
Over-communicate no more: Situated RL agents learn concise communication protocols. CoRR (2022)
Pouria Faridi, Javad Khodaei-Mehr, Don Wilson, Mojtaba Sharifi, Mahdi Tavakoli, Patrick M. Pilarski, Vivian K. Mushahwar
Machine-learned Adaptive Switching in Voluntary Lower-limb Exoskeleton Control: Preliminary Results. ICORR (2022)
Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski
What Should I Know? Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience. CoLLAs (2022)
Richard S. Sutton, Michael H. Bowling, Patrick M. Pilarski
The Alberta Plan for AI Research. CoRR (2022)
Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
Prototyping three key properties of specific curiosity in computational reinforcement learning. CoRR (2022)
Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have. CoRR (2022)
Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making. CoRR (2022)
Alex Kearney, Johannes Günther, Patrick M. Pilarski
Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge. Frontiers Artif. Intell. 5 (2022)
Dylan J. A. Brenneis, Adam S. R. Parker, Michael Bradley Johanson, Andrew Butcher, Elnaz Davoodi, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White, Patrick M. Pilarski
Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study. CoRR (2021)
Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski
Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making. CoRR (2021)
Ahmed W. Shehata, Heather E. Williams, Jacqueline S. Hebert, Patrick M. Pilarski
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance. IEEE Signal Process. Mag. 38 (4) (2021)
Jonathon S. Schofield, Marcus A. Battraw, Adam S. R. Parker, Patrick M. Pilarski, Jonathon W. Sensinger, Paul D. Marasco
Embodied Cooperation to Promote Forgiving Interactions With Autonomous Machines. Frontiers Neurorobotics 15 (2021)
Scott A. Stone, Quinn A. Boser, T. Riley Dawson, Albert H. Vette, Jacqueline S. Hebert, Patrick M. Pilarski, Craig S. Chapman
Sub-centimeter 3D gaze vector accuracy on real-world tasks: an investigation of eye and motion capture calibration routines. ETRA Adjunct (2021)
Javier L. Castellanos-Cruz, Maria F. Gomez-Medina, Mahdi Tavakoli, Patrick M. Pilarski, Kim D. Adams
Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller. J. Medical Robotics Res. 4 (3-4) (2020)
Alex Kearney, Anna Koop, Patrick M. Pilarski
What's a Good Prediction? Issues in Evaluating General Value Functions Through Error. CoRR (2020)
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI (2020)
Katya Kudashkina, Patrick M. Pilarski, Richard S. Sutton
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI. CoRR (2020)
Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson, Patrick M. Pilarski
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. Frontiers Robotics AI 7 (2020)
Heather E. Williams, Quinn A. Boser, Patrick M. Pilarski, Craig S. Chapman, Albert H. Vette, Jacqueline S. Hebert
Hand Function Kinematics when using a Simulated Myoelectric Prosthesis. ICORR (2019)
Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. CoRR (2019)
Javier L. Castellanos-Cruz, Mahdi Tavakoli, Patrick M. Pilarski, Kim D. Adams
Supporting Play by Applying Haptic Guidance Along a Surface Learnt from Single Motion Trajectories. ICORR (2019)
Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski, Klaus Diepold
General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison. CoRR (2019)
Adam S. R. Parker, Ann L. Edwards, Patrick M. Pilarski
Exploring the Impact of Machine-Learned Predictions on Feedback from an Artificial Limb. ICORR (2019)
Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR (2019)
Alexandra Kearney, Vivek Veeriah, Jaden B. Travnik, Patrick M. Pilarski, Richard S. Sutton
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning. CoRR (2019)
Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson, Patrick M. Pilarski
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. CoRR (2019)
Alex Kearney, Patrick M. Pilarski
When is a Prediction Knowledge? CoRR (2019)
Dylan J. A. Brenneis, Michael Rory Dawson, Hiroki Tanikawa, Jacqueline S. Hebert, Jason P. Carey, Patrick M. Pilarski
The Effect of an Automatically Levelling Wrist Control System. ICORR (2019)
Patrick M. Pilarski, Andrew Butcher, Michael Johanson, Matthew Botvinick, Andrew Bolt, Adam S. R. Parker
Learned human-agent decision-making, communication and joint action in a virtual reality environment. CoRR (2019)
Johannes Günther, Alex Kearney, Nadia M. Ady, Michael Rory Dawson, Patrick M. Pilarski
Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm. AAMAS (2019)
Alexandra Kearney, Vivek Veeriah, Jaden B. Travnik, Richard S. Sutton, Patrick M. Pilarski
TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent. CoRR (2018)
Gautham Vasan, Patrick M. Pilarski
Context-Aware Learning from Demonstration: Using Camera Data to Support the Synergistic Control of a Multi-Joint Prosthetic Arm. BioRob (2018)
Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton, Patrick M. Pilarski
Reactive Reinforcement Learning in Asynchronous Environments. CoRR (2018)
Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. CoRR (2018)
Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. IROS (2018)
Javier L. Castellanos-Cruz, Maria F. Gomez-Medina, Mahdi Tavakoli, Patrick M. Pilarski, Kim D. Adams
Preliminary Testing of a Telerobotic Haptic System and Analysis of Visual Attention During a Playful Activity. BioRob (2018)
Dylan J. A. Brenneis, Michael Rory Dawson, Glyn Murgatroyd, Jason P. Carey, Patrick M. Pilarski
Initial Investigation of a Self-Adjusting Wrist Control System to Maintain Prosthesis Terminal Device Orientation Relative to the Ground Reference Frame. BioRob (2018)
Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton, Patrick M. Pilarski
Reactive Reinforcement Learning in Asynchronous Environments. Frontiers Robotics AI 5 (2018)
Roberto Vega, Touqir Sajed, Kory Wallace Mathewson, Kriti Khare, Patrick M. Pilarski, Russell Greiner, Gildardo Sánchez-Ante, Javier Mauricio Antelis
Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Artif. Intell. Res. 6 (1) (2017)
Patrick M. Pilarski, Richard S. Sutton, Kory W. Mathewson, Craig Sherstan, Adam S. R. Parker, Ann L. Edwards
Communicative Capital for Prosthetic Agents. CoRR (2017)
Kory W. Mathewson, Patrick M. Pilarski
Reinforcement Learning Based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception. AAAI Spring Symposia (2017)
Kory W. Mathewson, Patrick M. Pilarski
Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception. CoRR (2017)
Kory W. Mathewson, Patrick M. Pilarski
Actor-Critic Reinforcement Learning with Simultaneous Human Control and Feedback. CoRR (2017)
Gautham Vasan, Patrick M. Pilarski
Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning. ICORR (2017)
Jaden B. Travnik, Patrick M. Pilarski
Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding. ICORR (2017)
Michael Wininger, Panagiotis K. Artemiadis, Claudio Castellini, Patrick M. Pilarski
Editorial: Peripheral Nervous System-Machine Interfaces (PNS-MI). Frontiers Neurorobotics 11 (2017)
Kory W. Mathewson, Patrick M. Pilarski
Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning. CoRR (2016)
Ann L. Edwards, Jacqueline S. Hebert, Patrick M. Pilarski
Machine learning and unlearning to autonomously switch between the functions of a myoelectric arm. BioRob (2016)
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton
True Online Temporal-Difference Learning. J. Mach. Learn. Res. 17 (2016)
Patrick M. Pilarski, Craig Sherstan
Steps toward knowledgeable neuroprostheses. BioRob (2016)
Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
Introspective Agents: Confidence Measures for General Value Functions. AGI (2016)
Vivek Veeriah, Patrick M. Pilarski, Richard S. Sutton
Face valuing: Training user interfaces with facial expressions and reinforcement learning. CoRR (2016)
Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
Introspective Agents: Confidence Measures for General Value Functions. CoRR (2016)
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton
True Online Temporal-Difference Learning. CoRR (2015)
Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Richard S. Sutton
An Empirical Evaluation of True Online TD(λ). CoRR (2015)
Adam S. R. Parker, Ann L. Edwards, Patrick M. Pilarski
Using Learned Predictions as Feedback to Improve Control and Communication with an Artificial Limb: Preliminary Findings. CoRR (2014)
Claudio Castellini, Panagiotis K. Artemiadis, Michael Wininger, Arash Ajoudani, Merkur Alimusaj, Antonio Bicchi, Barbara Caputo, William Craelius, Strahinja Dosen, Kevin B. Englehart, Dario Farina, Arjan Gijsberts, Sasha B. Godfrey, Levi J. Hargrove, Mark Ison, Todd A. Kuiken, Marko Markovic, Patrick M. Pilarski, Rüdiger Rupp, Erik J. Scheme
Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography. Frontiers Neurorobotics 8 (2014)
Patrick M. Pilarski, Michael Rory Dawson, Thomas Degris, Jason P. Carey, K. Ming Chan, Jacqueline S. Hebert, Richard S. Sutton
Adaptive Artificial Limbs: A Real-Time Approach to Prediction and Anticipation. IEEE Robotics Autom. Mag. 20 (1) (2013)
Ann L. Edwards, Alexandra Kearney, Michael Rory Dawson, Richard S. Sutton, Patrick M. Pilarski
Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb. CoRR (2013)
Patrick M. Pilarski, Travis B. Dick, Richard S. Sutton
Real-time prediction learning for the simultaneous actuation of multiple prosthetic joints. ICORR (2013)
Patrick M. Pilarski, Richard S. Sutton
Between Instruction and Reward: Human-Prompted Switching. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers (2012)
Thomas Degris, Patrick M. Pilarski, Richard S. Sutton
Model-Free reinforcement learning with continuous action in practice. ACC (2012)
Joseph Modayil, Adam White, Patrick M. Pilarski, Richard S. Sutton
Acquiring a broad range of empirical knowledge in real time by temporal-difference learning. SMC (2012)
Ashique Rupam Mahmood, Richard S. Sutton, Thomas Degris, Patrick M. Pilarski
Tuning-free step-size adaptation. ICASSP (2012)
Richard S. Sutton, Joseph Modayil, Michael Delp, Thomas Degris, Patrick M. Pilarski, Adam White, Doina Precup
Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction. AAMAS (2011)
Linda M. Pilarski, Sophia Adamia, Patrick M. Pilarski, Ranjit Prakash, Jana Lauzon, Christopher J. Backhouse
Improved Diagnosis and Monitoring of Cancer Using Portable Microfluidics Platforms. ICMENS (2004)