Patrick M. Pilarski

87 papers A* 1A 3B 2C 1Misc 1Journal 54Unranked 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Primate-like perceptual decision making emerges through deep recurrent reinforcement learning. CoRR Nathan J. Wispinski, Scott A. Stone, Anthony Singhal, Patrick M. Pilarski, Craig S. Chapman
2025	—	`conf`	Comparative Analysis of Temporal Difference Learning Methods to Learn General Value Functions of Lower-Limb Signals. ICORR Sonny T. Jones, Grange M. Simpson, Wyatt M. J. Young, Kylee North, Patrick M. Pilarski, Ashley N. Dalrymple
2025	—	`conf`	Continual Prediction Learning Techniques to Support Users' Grasp Selection on a Multi-Articulating Prosthetic Hand. Canadian AI Annette Lau, Michael Rory Dawson, Patrick M. Pilarski
2025	J	`jnl`	Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals. CoRR Sonny T. Jones, Grange M. Simpson, Patrick M. Pilarski, Ashley N. Dalrymple
2025	—	`conf`	Neural Network Sparsity in Brain-Body-Machine Interfaces. ICORR Laura C. Petrich, Samuel Neumann, Patrick M. Pilarski, Alona Fyshe
2024	—	`conf`	Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses. BioRob Michael Rory Dawson, Adam S. R. Parker, Heather E. Williams, Ahmed W. Shehata, Jacqueline S. Hebert, Craig S. Chapman, Patrick M. Pilarski
2023	—	`conf`	A Case Series in Position-Aware Myoelectric Prosthesis Control Using Recurrent Convolutional Neural Network Classification with Transfer Learning. ICORR Heather E. Williams, Jacqueline S. Hebert, Patrick M. Pilarski, Ahmed W. Shehata
2023	J	`jnl`	Adaptive patch foraging in deep reinforcement learning agents. Trans. Mach. Learn. Res. Nathan J. Wispinski, Andrew Butcher, Kory Wallace Mathewson, Craig S. Chapman, Matthew M. Botvinick, Patrick M. Pilarski
2023	J	`jnl`	Communicative capital: a key resource for human-machine shared agency and collaborative capacity. Neural Comput. Appl. Kory W. Mathewson, Adam S. R. Parker, Craig Sherstan, Ann L. Edwards, Richard S. Sutton, Patrick M. Pilarski
2023	J	`jnl`	Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control. CoRR Adam S. R. Parker, Michael Rory Dawson, Patrick M. Pilarski
2023	J	`jnl`	Embodied Communication: How Robots and People Communicate Through Physical Interaction. Annu. Rev. Control. Robotics Auton. Syst. Aleksandra Kalinowska, Patrick M. Pilarski, Todd D. Murphey
2023	J	`jnl`	What's a good prediction? Challenges in evaluating an agent's knowledge. Adapt. Behav. Alex Kearney, Anna Koop, Patrick M. Pilarski
2022	J	`jnl`	A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning. CoRR Kory W. Mathewson, Patrick M. Pilarski
2022	J	`jnl`	Adaptive patch foraging in deep reinforcement learning agents. CoRR Nathan J. Wispinski, Andrew Butcher, Kory W. Mathewson, Craig S. Chapman, Matthew M. Botvinick, Patrick M. Pilarski
2022	—	`conf`	Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden. ICORR Heather E. Williams, Johannes Günther, Jacqueline S. Hebert, Patrick M. Pilarski, Ahmed W. Shehata
2022	J	`jnl`	Editorial: Robotics, Autonomous Systems and AI for Nonurgent/Nonemergent Healthcare Delivery During and After the COVID-19 Pandemic. Frontiers Robotics AI Ana Luisa Trejos, Seyed Farokh Atashzar, Simon P. DiMaio, Patrick M. Pilarski, Mahdi Tavakoli
2022	J	`jnl`	Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have. CoRR Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
2022	J	`jnl`	Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses. CoRR Michael Rory Dawson, Adam S. R. Parker, Heather E. Williams, Ahmed W. Shehata, Jacqueline S. Hebert, Craig S. Chapman, Patrick M. Pilarski
2022	—	`conf`	Machine-learned Adaptive Switching in Voluntary Lower-limb Exoskeleton Control: Preliminary Results. ICORR Pouria Faridi, Javad Khodaei-Mehr, Don Wilson, Mojtaba Sharifi, Mahdi Tavakoli, Patrick M. Pilarski, Vivian K. Mushahwar
2022	J	`jnl`	Over-communicate no more: Situated RL agents learn concise communication protocols. CoRR Aleksandra Kalinowska, Elnaz Davoodi, Florian Strub, Kory W. Mathewson, Ivana Kajic, Michael Bowling, Todd D. Murphey, Patrick M. Pilarski
2022	J	`jnl`	Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making. CoRR Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski
2022	J	`jnl`	Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge. Frontiers Artif. Intell. Alex Kearney, Johannes Günther, Patrick M. Pilarski
2022	J	`jnl`	Prototyping three key properties of specific curiosity in computational reinforcement learning. CoRR Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
2022	J	`jnl`	Recurrent Convolutional Neural Networks as an Approach to Position-Aware Myoelectric Prosthesis Control. IEEE Trans. Biomed. Eng. Heather E. Williams, Ahmed W. Shehata, Michael Rory Dawson, Erik J. Scheme, Jacqueline S. Hebert, Patrick M. Pilarski
2022	J	`jnl`	The Alberta Plan for AI Research. CoRR Richard S. Sutton, Michael H. Bowling, Patrick M. Pilarski
2022	J	`jnl`	The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents. CoRR 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
2022	B	`conf`	Towards Situated Communication in Multi-Step Interactions: Time is a Key Pressure in Communication Emergence. CogSci Aleksandra Kalinowska, Elnaz Davoodi, Kory W. Mathewson, Todd D. Murphey, Patrick M. Pilarski
2022	—	`conf`	What Should I Know? Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience. CoLLAs Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski
2022	J	`jnl`	What Should I Know? Using Meta-gradient Descent for Predictive Feature Discovery in a Single Stream of Experience. CoRR Alexandra Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski
2021	J	`jnl`	Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study. CoRR 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
2021	J	`jnl`	Embodied Cooperation to Promote Forgiving Interactions With Autonomous Machines. Frontiers Neurorobotics Jonathon S. Schofield, Marcus A. Battraw, Adam S. R. Parker, Patrick M. Pilarski, Jonathon W. Sensinger, Paul D. Marasco
2021	J	`jnl`	Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making. CoRR Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski
2021	J	`jnl`	Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance. IEEE Signal Process. Mag. Ahmed W. Shehata, Heather E. Williams, Jacqueline S. Hebert, Patrick M. Pilarski
2021	—	`conf`	Sub-centimeter 3D gaze vector accuracy on real-world tasks: an investigation of eye and motion capture calibration routines. ETRA Adjunct Scott A. Stone, Quinn A. Boser, T. Riley Dawson, Albert H. Vette, Jacqueline S. Hebert, Patrick M. Pilarski, Craig S. Chapman
2020	J	`jnl`	Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller. J. Medical Robotics Res. Javier L. Castellanos-Cruz, Maria F. Gomez-Medina, Mahdi Tavakoli, Patrick M. Pilarski, Kim D. Adams
2020	J	`jnl`	Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI. CoRR Katya Kudashkina, Patrick M. Pilarski, Richard S. Sutton
2020	J	`jnl`	Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. Frontiers Robotics AI Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson, Patrick M. Pilarski
2020	A*	`conf`	Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
2020	J	`jnl`	What's a Good Prediction? Issues in Evaluating General Value Functions Through Error. CoRR Alex Kearney, Anna Koop, Patrick M. Pilarski
2019	J	`jnl`	Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. CoRR Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson, Patrick M. Pilarski
2019	—	`conf`	Exploring the Impact of Machine-Learned Predictions on Feedback from an Artificial Limb. ICORR Adam S. R. Parker, Ann L. Edwards, Patrick M. Pilarski
2019	J	`jnl`	Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski
2019	J	`jnl`	General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison. CoRR Johannes Günther, Elias Reichensdörfer, Patrick M. Pilarski, Klaus Diepold
2019	—	`conf`	Hand Function Kinematics when using a Simulated Myoelectric Prosthesis. ICORR Heather E. Williams, Quinn A. Boser, Patrick M. Pilarski, Craig S. Chapman, Albert H. Vette, Jacqueline S. Hebert
2019	J	`jnl`	Learned human-agent decision-making, communication and joint action in a virtual reality environment. CoRR Patrick M. Pilarski, Andrew Butcher, Michael Johanson, Matthew M. Botvinick, Andrew Bolt, Adam S. R. Parker
2019	J	`jnl`	Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning. CoRR Alexandra Kearney, Vivek Veeriah, Jaden B. Travnik, Patrick M. Pilarski, Richard S. Sutton
2019	J	`jnl`	Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. CoRR Sandy H. Huang, Martina Zambelli, Jackie Kay, Murilo F. Martins, Yuval Tassa, Patrick M. Pilarski, Raia Hadsell
2019	A	`conf`	Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm. AAMAS Johannes Günther, Alex Kearney, Nadia M. Ady, Michael Rory Dawson, Patrick M. Pilarski
2019	—	`conf`	Supporting Play by Applying Haptic Guidance Along a Surface Learnt from Single Motion Trajectories. ICORR Javier L. Castellanos-Cruz, Mahdi Tavakoli, Patrick M. Pilarski, Kim D. Adams
2019	—	`conf`	The Effect of an Automatically Levelling Wrist Control System. ICORR Dylan J. A. Brenneis, Michael Rory Dawson, Hiroki Tanikawa, Jacqueline S. Hebert, Jason P. Carey, Patrick M. Pilarski
2019	J	`jnl`	When is a Prediction Knowledge? CoRR Alex Kearney, Patrick M. Pilarski
2018	A	`conf`	Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. IROS Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski
2018	J	`jnl`	Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. CoRR Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski
2018	—	`conf`	Context-Aware Learning from Demonstration: Using Camera Data to Support the Synergistic Control of a Multi-Joint Prosthetic Arm. BioRob Gautham Vasan, Patrick M. Pilarski
2018	—	`conf`	Initial Investigation of a Self-Adjusting Wrist Control System to Maintain Prosthesis Terminal Device Orientation Relative to the Ground Reference Frame. BioRob Dylan J. A. Brenneis, Michael Rory Dawson, Glyn Murgatroyd, Jason P. Carey, Patrick M. Pilarski
2018	—	`conf`	Preliminary Testing of a Telerobotic Haptic System and Analysis of Visual Attention During a Playful Activity. BioRob Javier L. Castellanos-Cruz, Maria F. Gomez-Medina, Mahdi Tavakoli, Patrick M. Pilarski, Kim D. Adams
2018	J	`jnl`	Reactive Reinforcement Learning in Asynchronous Environments. CoRR Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton, Patrick M. Pilarski
2018	J	`jnl`	Reactive Reinforcement Learning in Asynchronous Environments. Frontiers Robotics AI Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton, Patrick M. Pilarski
2018	J	`jnl`	TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent. CoRR Alexandra Kearney, Vivek Veeriah, Jaden B. Travnik, Richard S. Sutton, Patrick M. Pilarski
2017	J	`jnl`	Actor-Critic Reinforcement Learning with Simultaneous Human Control and Feedback. CoRR Kory W. Mathewson, Patrick M. Pilarski
2017	J	`jnl`	Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Artif. Intell. Res. Roberto Vega, Touqir Sajed, Kory Wallace Mathewson, Kriti Khare, Patrick M. Pilarski, Russell Greiner, Gildardo Sánchez-Ante, Javier Mauricio Antelis
2017	J	`jnl`	Communicative Capital for Prosthetic Agents. CoRR Patrick M. Pilarski, Richard S. Sutton, Kory W. Mathewson, Craig Sherstan, Adam S. R. Parker, Ann L. Edwards
2017	J	`jnl`	Editorial: Peripheral Nervous System-Machine Interfaces (PNS-MI). Frontiers Neurorobotics Michael Wininger, Panagiotis K. Artemiadis, Claudio Castellini, Patrick M. Pilarski
2017	—	`conf`	Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning. ICORR Gautham Vasan, Patrick M. Pilarski
2017	—	`conf`	Reinforcement Learning Based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception. AAAI Spring Symposia Kory W. Mathewson, Patrick M. Pilarski
2017	J	`jnl`	Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception. CoRR Kory W. Mathewson, Patrick M. Pilarski
2017	—	`conf`	Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding. ICORR Jaden B. Travnik, Patrick M. Pilarski
2016	J	`jnl`	Face valuing: Training user interfaces with facial expressions and reinforcement learning. CoRR Vivek Veeriah, Patrick M. Pilarski, Richard S. Sutton
2016	—	`conf`	Introspective Agents: Confidence Measures for General Value Functions. AGI Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
2016	J	`jnl`	Introspective Agents: Confidence Measures for General Value Functions. CoRR Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
2016	—	`conf`	Machine learning and unlearning to autonomously switch between the functions of a myoelectric arm. BioRob Ann L. Edwards, Jacqueline S. Hebert, Patrick M. Pilarski
2016	J	`jnl`	Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning. CoRR Kory W. Mathewson, Patrick M. Pilarski
2016	—	`conf`	Steps toward knowledgeable neuroprostheses. BioRob Patrick M. Pilarski, Craig Sherstan
2016	J	`jnl`	True Online Temporal-Difference Learning. J. Mach. Learn. Res. Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton
2015	J	`jnl`	An Empirical Evaluation of True Online TD(λ). CoRR Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Richard S. Sutton
2015	J	`jnl`	True Online Temporal-Difference Learning. CoRR Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton
2014	J	`jnl`	Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography. Frontiers Neurorobotics 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
2014	J	`jnl`	Using Learned Predictions as Feedback to Improve Control and Communication with an Artificial Limb: Preliminary Findings. CoRR Adam S. R. Parker, Ann L. Edwards, Patrick M. Pilarski
2013	J	`jnl`	Adaptive Artificial Limbs: A Real-Time Approach to Prediction and Anticipation. IEEE Robotics Autom. Mag. Patrick M. Pilarski, Michael Rory Dawson, Thomas Degris, Jason P. Carey, K. Ming Chan, Jacqueline S. Hebert, Richard S. Sutton
2013	—	`conf`	Real-time prediction learning for the simultaneous actuation of multiple prosthetic joints. ICORR Patrick M. Pilarski, Travis B. Dick, Richard S. Sutton
2013	J	`jnl`	Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb. CoRR Ann L. Edwards, Alexandra Kearney, Michael Rory Dawson, Richard S. Sutton, Patrick M. Pilarski
2012	B	`conf`	Acquiring a broad range of empirical knowledge in real time by temporal-difference learning. SMC Joseph Modayil, Adam White, Patrick M. Pilarski, Richard S. Sutton
2012	—	`conf`	Between Instruction and Reward: Human-Prompted Switching. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers Patrick M. Pilarski, Richard S. Sutton
2012	C	`conf`	Model-Free reinforcement learning with continuous action in practice. ACC Thomas Degris, Patrick M. Pilarski, Richard S. Sutton
2012	Misc	`conf`	Tuning-free step-size adaptation. ICASSP Ashique Rupam Mahmood, Richard S. Sutton, Thomas Degris, Patrick M. Pilarski
2011	A	`conf`	Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction. AAMAS Richard S. Sutton, Joseph Modayil, Michael Delp, Thomas Degris, Patrick M. Pilarski, Adam White, Doina Precup
2004	—	`conf`	Improved Diagnosis and Monitoring of Cancer Using Portable Microfluidics Platforms. ICMENS Linda M. Pilarski, Sophia Adamia, Patrick M. Pilarski, Ranjit Prakash, Jana Lauzon, Christopher J. Backhouse