Improved Diagnosis and Monitoring of Cancer Using Portable Microfluidics Platforms. - Linda M. Pilarski; Sophia Adamia; Patrick M. Pilarski; Ranjit Prakash; Jana Lauzon; Christopher J. Backhouse (ICMENS, 2004)

Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction. - Richard S. Sutton; Joseph Modayil; Michael Delp; Thomas Degris; Patrick M. Pilarski; Adam White 001; Doina Precup (AAMAS, 2011)

Between Instruction and Reward: Human-Prompted Switching. - Patrick M. Pilarski; Richard S. Sutton (AAAI Fall Symposium: Robots Learning Interactively from Human Teachers, 2012)

Model-Free reinforcement learning with continuous action in practice. - Thomas Degris; Patrick M. Pilarski; Richard S. Sutton (ACC, 2012)

Tuning-free step-size adaptation. - Ashique Rupam Mahmood; Richard S. Sutton; Thomas Degris; Patrick M. Pilarski (ICASSP, 2012)

Acquiring a broad range of empirical knowledge in real time by temporal-difference learning. - Joseph Modayil; Adam White 001; Patrick M. Pilarski; Richard S. Sutton (SMC, 2012)

Real-time prediction learning for the simultaneous actuation of multiple prosthetic joints. - Patrick M. Pilarski; Travis B. Dick; Richard S. Sutton (ICORR, 2013)

Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb. - Ann L. Edwards; Alexandra Kearney; Michael Rory Dawson; Richard S. Sutton; Patrick M. Pilarski (CoRR, 2013)

Adaptive Artificial Limbs: A Real-Time Approach to Prediction and Anticipation. - Patrick M. Pilarski; Michael Rory Dawson; Thomas Degris; Jason P. Carey; K. Ming Chan; Jacqueline S. Hebert; Richard S. Sutton (IEEE Robotics Autom. Mag., 2013)

Using Learned Predictions as Feedback to Improve Control and Communication with an Artificial Limb: Preliminary Findings. - Adam S. R. Parker; Ann L. Edwards; Patrick M. Pilarski (CoRR, 2014)

Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography. - 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; et al. (Frontiers Neurorobotics, 2014)

An Empirical Evaluation of True Online TD(λ). - Harm van Seijen; Ashique Rupam Mahmood; Patrick M. Pilarski; Richard S. Sutton (CoRR, 2015)

Introspective Agents: Confidence Measures for General Value Functions. - Craig Sherstan; Adam White 001; Marlos C. Machado; Patrick M. Pilarski (AGI, 2016)

Machine learning and unlearning to autonomously switch between the functions of a myoelectric arm. - Ann L. Edwards; Jacqueline S. Hebert; Patrick M. Pilarski (BioRob, 2016)

Steps toward knowledgeable neuroprostheses. - Patrick M. Pilarski; Craig Sherstan (BioRob, 2016)

Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning. - Kory W. Mathewson; Patrick M. Pilarski (CoRR, 2016)

Face valuing: Training user interfaces with facial expressions and reinforcement learning. - Vivek Veeriah; Patrick M. Pilarski; Richard S. Sutton (CoRR, 2016)

True Online Temporal-Difference Learning. - Harm van Seijen; Ashique Rupam Mahmood; Patrick M. Pilarski; Marlos C. Machado; Richard S. Sutton (J. Mach. Learn. Res., 2016)

Reinforcement Learning Based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception. - Kory W. Mathewson; Patrick M. Pilarski (AAAI Spring Symposia, 2017)

Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding. - Jaden B. Travnik; Patrick M. Pilarski (ICORR, 2017)

Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning. - Gautham Vasan; Patrick M. Pilarski (ICORR, 2017)

Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. - Roberto Vega; Touqir Sajed; Kory Wallace Mathewson; Kriti Khare; Patrick M. Pilarski; Russell Greiner; Gildardo Sánchez-Ante; Javier Mauricio Antelis (Artif. Intell. Res., 2017)

Actor-Critic Reinforcement Learning with Simultaneous Human Control and Feedback. - Kory W. Mathewson; Patrick M. Pilarski (CoRR, 2017)

Communicative Capital for Prosthetic Agents. - Patrick M. Pilarski; Richard S. Sutton; Kory W. Mathewson; Craig Sherstan; Adam S. R. Parker; Ann L. Edwards (CoRR, 2017)

Editorial: Peripheral Nervous System-Machine Interfaces (PNS-MI). - Michael Wininger; Panagiotis K. Artemiadis; Claudio Castellini; Patrick M. Pilarski (Frontiers Neurorobotics, 2017)

Initial Investigation of a Self-Adjusting Wrist Control System to Maintain Prosthesis Terminal Device Orientation Relative to the Ground Reference Frame. - Dylan J. A. Brenneis; Michael Rory Dawson; Glyn Murgatroyd; Jason P. Carey; Patrick M. Pilarski (BioRob, 2018)

Preliminary Testing of a Telerobotic Haptic System and Analysis of Visual Attention During a Playful Activity. - Javier L. Castellanos-Cruz; Maria F. Gomez-Medina; Mahdi Tavakoli; Patrick M. Pilarski; Kim D. Adams (BioRob, 2018)

Context-Aware Learning from Demonstration: Using Camera Data to Support the Synergistic Control of a Multi-Joint Prosthetic Arm. - Gautham Vasan; Patrick M. Pilarski (BioRob, 2018)

Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. - Craig Sherstan; Marlos C. Machado; Patrick M. Pilarski (IROS, 2018)

TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent. - Alexandra Kearney; Vivek Veeriah; Jaden B. Travnik; Richard S. Sutton; Patrick M. Pilarski (CoRR, 2018)

Reactive Reinforcement Learning in Asynchronous Environments. - Jaden B. Travnik; Kory W. Mathewson; Richard S. Sutton; Patrick M. Pilarski (Frontiers Robotics AI, 2018)

Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm. - Johannes Günther 002; Alex Kearney; Nadia M. Ady; Michael Rory Dawson; Patrick M. Pilarski (AAMAS, 2019)

The Effect of an Automatically Levelling Wrist Control System. - Dylan J. A. Brenneis; Michael Rory Dawson; Hiroki Tanikawa; Jacqueline S. Hebert; Jason P. Carey; Patrick M. Pilarski (ICORR, 2019)

Supporting Play by Applying Haptic Guidance Along a Surface Learnt from Single Motion Trajectories. - Javier L. Castellanos-Cruz; Mahdi Tavakoli; Patrick M. Pilarski; Kim D. Adams (ICORR, 2019)

Exploring the Impact of Machine-Learned Predictions on Feedback from an Artificial Limb. - Adam S. R. Parker; Ann L. Edwards; Patrick M. Pilarski (ICORR, 2019)

Hand Function Kinematics when using a Simulated Myoelectric Prosthesis. - Heather E. Williams; Quinn A. Boser; Patrick M. Pilarski; Craig S. Chapman; Albert H. Vette; Jacqueline S. Hebert (ICORR, 2019)

Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning. - Alexandra Kearney; Vivek Veeriah; Jaden B. Travnik; Patrick M. Pilarski; Richard S. Sutton (CoRR, 2019)

Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning. - Sandy H. Huang; Martina Zambelli; Jackie Kay; Murilo F. Martins; Yuval Tassa; Patrick M. Pilarski; Raia Hadsell (CoRR, 2019)

When is a Prediction Knowledge? - Alex Kearney; Patrick M. Pilarski (CoRR, 2019)

Learned human-agent decision-making, communication and joint action in a virtual reality environment. - Patrick M. Pilarski; Andrew Butcher; Michael Johanson; Matthew M. Botvinick; Andrew Bolt; Adam S. R. Parker (CoRR, 2019)

General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison. - Johannes Günther 002; Elias Reichensdörfer; Patrick M. Pilarski; Klaus Diepold (CoRR, 2019)

Gamma-Nets: Generalizing Value Estimation over Timescale. - Craig Sherstan; Shibhansh Dohare; James MacGlashan; Johannes Günther 002; Patrick M. Pilarski (AAAI, 2020)

What's a Good Prediction? Issues in Evaluating General Value Functions Through Error. - Alex Kearney; Anna Koop; Patrick M. Pilarski (CoRR, 2020)

Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI. - Katya Kudashkina; Patrick M. Pilarski; Richard S. Sutton (CoRR, 2020)

Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. - Johannes Günther 002; Nadia M. Ady; Alex Kearney; Michael Rory Dawson; Patrick M. Pilarski (Frontiers Robotics AI, 2020)

Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller. - Javier L. Castellanos-Cruz; Maria F. Gomez-Medina; Mahdi Tavakoli; Patrick M. Pilarski; Kim D. Adams (J. Medical Robotics Res., 2020)

Sub-centimeter 3D gaze vector accuracy on real-world tasks: an investigation of eye and motion capture calibration routines. - Scott A. Stone; Quinn A. Boser; T. Riley Dawson; Albert H. Vette; Jacqueline S. Hebert; Patrick M. Pilarski; Craig S. Chapman (ETRA Adjunct, 2021)

Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making. - Alex Kearney; Anna Koop; Johannes Günther 002; Patrick M. Pilarski (CoRR, 2021)

Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study. - Dylan J. A. Brenneis; Adam S. R. Parker; Michael Bradley Johanson; Andrew Butcher; Elnaz Davoodi; Leslie Acker; Matthew M. Botvinick; Joseph Modayil; Adam White 001; Patrick M. Pilarski (CoRR, 2021)

Embodied Cooperation to Promote Forgiving Interactions With Autonomous Machines. - Jonathon S. Schofield; Marcus A. Battraw; Adam S. R. Parker; Patrick M. Pilarski; Jonathon W. Sensinger; Paul D. Marasco (Frontiers Neurorobotics, 2021)

Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance. - Ahmed W. Shehata; Heather E. Williams; Jacqueline S. Hebert; Patrick M. Pilarski (IEEE Signal Process. Mag., 2021)

Towards Situated Communication in Multi-Step Interactions: Time is a Key Pressure in Communication Emergence. - Aleksandra Kalinowska; Elnaz Davoodi; Kory W. Mathewson; Todd D. Murphey; Patrick M. Pilarski (CogSci, 2022)

What Should I Know? Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience. - Alex Kearney; Anna Koop; Johannes Günther 002; Patrick M. Pilarski (CoLLAs, 2022)

Machine-learned Adaptive Switching in Voluntary Lower-limb Exoskeleton Control: Preliminary Results. - Pouria Faridi; Javad Khodaei-Mehr; Don Wilson; Mojtaba Sharifi; Mahdi Tavakoli; Patrick M. Pilarski; Vivian K. Mushahwar (ICORR, 2022)

Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden. - Heather E. Williams; Johannes Günther 002; Jacqueline S. Hebert; Patrick M. Pilarski; Ahmed W. Shehata (ICORR, 2022)

Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making. - Andrew Butcher; Michael Bradley Johanson; Elnaz Davoodi; Dylan J. A. Brenneis; Leslie Acker; Adam S. R. Parker; Adam White 001; Joseph Modayil; Patrick M. Pilarski (CoRR, 2022)

The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents. - 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 001 (CoRR, 2022)

A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning. - Kory W. Mathewson; Patrick M. Pilarski (CoRR, 2022)

Prototyping three key properties of specific curiosity in computational reinforcement learning. - Nadia M. Ady; Roshan Shariff; Johannes Günther 002; Patrick M. Pilarski (CoRR, 2022)

The Alberta Plan for AI Research. - Richard S. Sutton; Michael H. Bowling; Patrick M. Pilarski (CoRR, 2022)

Over-communicate no more: Situated RL agents learn concise communication protocols. - Aleksandra Kalinowska; Elnaz Davoodi; Florian Strub; Kory W. Mathewson; Ivana Kajic; Michael Bowling; Todd D. Murphey; Patrick M. Pilarski (CoRR, 2022)

Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have. - Nadia M. Ady; Roshan Shariff; Johannes Günther 002; Patrick M. Pilarski (CoRR, 2022)

Editorial: Robotics, Autonomous Systems and AI for Nonurgent/Nonemergent Healthcare Delivery During and After the COVID-19 Pandemic. - Ana Luisa Trejos; Seyed Farokh Atashzar; Simon P. DiMaio; Patrick M. Pilarski; Mahdi Tavakoli (Frontiers Robotics AI, 2022)

Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge. - Alex Kearney; Johannes Günther 002; Patrick M. Pilarski (Frontiers Artif. Intell., 2022)

Recurrent Convolutional Neural Networks as an Approach to Position-Aware Myoelectric Prosthesis Control. - Heather E. Williams; Ahmed W. Shehata; Michael Rory Dawson; Erik J. Scheme; Jacqueline S. Hebert; Patrick M. Pilarski (IEEE Trans. Biomed. Eng., 2022)

A Case Series in Position-Aware Myoelectric Prosthesis Control Using Recurrent Convolutional Neural Network Classification with Transfer Learning. - Heather E. Williams; Jacqueline S. Hebert; Patrick M. Pilarski; Ahmed W. Shehata (ICORR, 2023)

What's a good prediction? Challenges in evaluating an agent's knowledge. - Alex Kearney; Anna Koop; Patrick M. Pilarski (Adapt. Behav., 2023)

Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control. - Adam S. R. Parker; Michael Rory Dawson; Patrick M. Pilarski (CoRR, 2023)

Adaptive patch foraging in deep reinforcement learning agents. - Nathan J. Wispinski; Andrew Butcher; Kory Wallace Mathewson; Craig S. Chapman; Matthew M. Botvinick; Patrick M. Pilarski (Trans. Mach. Learn. Res., 2023)

Embodied Communication: How Robots and People Communicate Through Physical Interaction. - Aleksandra Kalinowska; Patrick M. Pilarski; Todd D. Murphey (Annu. Rev. Control. Robotics Auton. Syst., 2023)

Communicative capital: a key resource for human-machine shared agency and collaborative capacity. - Kory W. Mathewson; Adam S. R. Parker; Craig Sherstan; Ann L. Edwards; Richard S. Sutton; Patrick M. Pilarski (Neural Comput. Appl., 2023)

Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses. - Michael Rory Dawson; Adam S. R. Parker; Heather E. Williams; Ahmed W. Shehata; Jacqueline S. Hebert; Craig S. Chapman; Patrick M. Pilarski (BioRob, 2024)

Continual Prediction Learning Techniques to Support Users' Grasp Selection on a Multi-Articulating Prosthetic Hand. - Annette Lau; Michael Rory Dawson; Patrick M. Pilarski (Canadian AI, 2025)

Comparative Analysis of Temporal Difference Learning Methods to Learn General Value Functions of Lower-Limb Signals. - Sonny T. Jones; Grange M. Simpson; Wyatt M. J. Young; Kylee North; Patrick M. Pilarski; Ashley N. Dalrymple (ICORR, 2025)

Neural Network Sparsity in Brain-Body-Machine Interfaces. - Laura C. Petrich; Samuel Neumann; Patrick M. Pilarski; Alona Fyshe (ICORR, 2025)

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals. - Sonny T. Jones; Grange M. Simpson; Patrick M. Pilarski; Ashley N. Dalrymple (CoRR, 2025)