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Patrick M. Pilarski
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2020 – today
- 2024
- [c30]Michael Rory 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. BioRob 2024: 605-611 - 2023
- [j17]Alex Kearney, Anna Koop, Patrick M. Pilarski
:
What's a good prediction? Challenges in evaluating an agent's knowledge. Adapt. Behav. 31(3): 197-212 (2023) - [j16]Aleksandra Kalinowska, Patrick M. Pilarski
Embodied Communication: How Robots and People Communicate Through Physical Interaction. Annu. Rev. Control. Robotics Auton. Syst. 6: 205-232 (2023) - [j15]Kory W. Mathewson
Communicative capital: a key resource for human-machine shared agency and collaborative capacity. Neural Comput. Appl. 35(23): 16805-16819 (2023) - [j14]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) - [c29]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: 1-6 - [i35]Adam S. R. Parker, Michael Rory Dawson, Patrick M. Pilarski:
Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control. CoRR abs/2305.14365 (2023) - 2022
- [j13]Ana Luisa Trejos
Editorial: Robotics, Autonomous Systems and AI for Nonurgent/Nonemergent Healthcare Delivery During and After the COVID-19 Pandemic. Frontiers Robotics AI 9: 886926 (2022) - [j12]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: 826724 (2022) - [j11]Heather E. Williams
Recurrent Convolutional Neural Networks as an Approach to Position-Aware Myoelectric Prosthesis Control. IEEE Trans. Biomed. Eng. 69(7): 2243-2255 (2022) - [c28]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 - [c27]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: 604-616 - [c26]Pouria Faridi, Javad Khodaei-Mehr, Don Wilson, Mojtaba Sharifi, Mahdi Tavakoli, Patrick M. Pilarski
Machine-learned Adaptive Switching in Voluntary Lower-limb Exoskeleton Control: Preliminary Results. ICORR 2022: 1-6 - [c25]Heather E. Williams, Johannes Günther, Jacqueline S. Hebert
Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden. ICORR 2022: 1-6 - [i34]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 abs/2201.03709 (2022) - [i33]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 abs/2203.09498 (2022) - [i32]Kory W. Mathewson, Patrick M. Pilarski:
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning. CoRR abs/2204.09622 (2022) - [i31]Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
Prototyping three key properties of specific curiosity in computational reinforcement learning. CoRR abs/2205.10407 (2022) - [i30]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 abs/2206.06485 (2022) - [i29]Richard S. Sutton, Michael H. Bowling, Patrick M. Pilarski
The Alberta Plan for AI Research. CoRR abs/2208.11173 (2022) - [i28]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 abs/2210.08085 (2022) - [i27]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 abs/2211.01480 (2022) - [i26]Nadia M. Ady, Roshan Shariff, Johannes Günther, Patrick M. Pilarski
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have. CoRR abs/2212.00187 (2022) - [i25]Michael Rory Dawson, Adam S. R. Parker, Heather E. Williams, Ahmed W. Shehata, Jacqueline S. Hebert
Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses. CoRR abs/2212.14124 (2022) - 2021
- [j10]Jonathon S. Schofield, Marcus A. Battraw, Adam S. R. Parker, Patrick M. Pilarski
Embodied Cooperation to Promote Forgiving Interactions With Autonomous Machines. Frontiers Neurorobotics 15: 661603 (2021) - [j9]Ahmed W. Shehata
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance. IEEE Signal Process. Mag. 38(4): 46-53 (2021) - [c24]Scott A. Stone
Sub-centimeter 3D gaze vector accuracy on real-world tasks: an investigation of eye and motion capture calibration routines. ETRA Adjunct 2021: 13:1-13:4 - [i24]Alex Kearney, Anna Koop, Johannes Günther, Patrick M. Pilarski:
Finding Useful Predictions by Meta-gradient Descent to Improve Decision-making. CoRR abs/2111.11212 (2021) - [i23]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 abs/2112.07774 (2021) - 2020
- [j8]Johannes Günther, Nadia M. Ady, Alex Kearney, Michael Rory Dawson
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures. Frontiers Robotics AI 7: 34 (2020) - [j7]Javier L. Castellanos-Cruz, Maria F. Gomez-Medina, Mahdi Tavakoli, Patrick M. Pilarski
Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller. J. Medical Robotics Res. 4(3-4): 1950005:1-1950005:11 (2020) - [c23]Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. AAAI 2020: 5717-5725 - [i22]Alex Kearney, Anna Koop, Patrick M. Pilarski:
What's a Good Prediction? Issues in Evaluating General Value Functions Through Error. CoRR abs/2001.08823 (2020) - [i21]Katya Kudashkina, Patrick M. Pilarski, Richard S. Sutton:
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI. CoRR abs/2008.12095 (2020)
2010 – 2019
- 2019
- [c22]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: 1967-1969 - [c21]Heather E. Williams, Quinn A. Boser, Patrick M. Pilarski
Hand Function Kinematics when using a Simulated Myoelectric Prosthesis. ICORR 2019: 169-174 - [c20]Javier L. Castellanos-Cruz, Mahdi Tavakoli
Supporting Play by Applying Haptic Guidance Along a Surface Learnt from Single Motion Trajectories. ICORR 2019: 175-180 - [c19]Dylan J. A. Brenneis, Michael Rory Dawson
The Effect of an Automatically Levelling Wrist Control System. ICORR 2019: 816-823 - [c18]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: 1239-1246 - [i20]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 abs/1903.03252 (2019) - [i19]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 abs/1903.08542 (2019) - [i18]Alex Kearney, Patrick M. Pilarski:
When is a Prediction Knowledge? CoRR abs/1904.09024 (2019) - [i17]Patrick M. Pilarski, Andrew Butcher, Michael Johanson, Matthew M. Botvinick, Andrew Bolt, Adam S. R. Parker:
Learned human-agent decision-making, communication and joint action in a virtual reality environment. CoRR abs/1905.02691 (2019) - [i16]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 abs/1905.13268 (2019) - [i15]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 abs/1908.05751 (2019) - [i14]Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski:
Gamma-Nets: Generalizing Value Estimation over Timescale. CoRR abs/1911.07794 (2019) - 2018
- [j6]Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton, Patrick M. Pilarski
Reactive Reinforcement Learning in Asynchronous Environments. Frontiers Robotics AI 5: 79 (2018) - [c17]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: 199-206 - [c16]Dylan J. A. Brenneis, Michael Rory Dawson
Initial Investigation of a Self-Adjusting Wrist Control System to Maintain Prosthesis Terminal Device Orientation Relative to the Ground Reference Frame. BioRob 2018: 756-763 - [c15]Javier L. Castellanos-Cruz, Maria F. Gomez-Medina, Mahdi Tavakoli
Preliminary Testing of a Telerobotic Haptic System and Analysis of Visual Attention During a Playful Activity. BioRob 2018: 1280-1285 - [c14]Craig Sherstan, Marlos C. Machado
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. IROS 2018: 2997-3003 - [i13]Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton, Patrick M. Pilarski:
Reactive Reinforcement Learning in Asynchronous Environments. CoRR abs/1802.06139 (2018) - [i12]Craig Sherstan, Marlos C. Machado, Patrick M. Pilarski:
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation. CoRR abs/1803.09001 (2018) - [i11]Alexandra Kearney, Vivek Veeriah, Jaden B. Travnik, Richard S. Sutton, Patrick M. Pilarski:
TIDBD: Adapting Temporal-difference Step-sizes Through Stochastic Meta-descent. CoRR abs/1804.03334 (2018) - 2017
- [j5]Roberto Vega
Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals. Artif. Intell. Res. 6(1): 37-51 (2017) - [j4]Michael Wininger
Editorial: Peripheral Nervous System-Machine Interfaces (PNS-MI). Frontiers Neurorobotics 11: 54 (2017) - [c13]Kory W. Mathewson, Patrick M. Pilarski:
Reinforcement Learning Based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception. AAAI Spring Symposia 2017 - [c12]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: 1443-1450 - [c11]Gautham Vasan, Patrick M. Pilarski
Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning. ICORR 2017: 1457-1464 - [i10]Kory W. Mathewson, Patrick M. Pilarski:
Reinforcement Learning based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception. CoRR abs/1701.02369 (2017) - [i9]Kory W. Mathewson, Patrick M. Pilarski:
Actor-Critic Reinforcement Learning with Simultaneous Human Control and Feedback. CoRR abs/1703.01274 (2017) - [i8]Patrick M. Pilarski, Richard S. Sutton, Kory W. Mathewson, Craig Sherstan, Adam S. R. Parker, Ann L. Edwards:
Communicative Capital for Prosthetic Agents. CoRR abs/1711.03676 (2017) - 2016
- [j3]Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado
True Online Temporal-Difference Learning. J. Mach. Learn. Res. 17: 145:1-145:40 (2016) - [c10]Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski
Introspective Agents: Confidence Measures for General Value Functions. AGI 2016: 258-261 - [c9]Patrick M. Pilarski
Steps toward knowledgeable neuroprostheses. BioRob 2016: 220 - [c8]Ann L. Edwards, Jacqueline S. Hebert
Machine learning and unlearning to autonomously switch between the functions of a myoelectric arm. BioRob 2016: 514-521 - [i7]Vivek Veeriah, Patrick M. Pilarski, Richard S. Sutton:
Face valuing: Training user interfaces with facial expressions and reinforcement learning. CoRR abs/1606.02807 (2016) - [i6]Craig Sherstan, Adam White, Marlos C. Machado, Patrick M. Pilarski:
Introspective Agents: Confidence Measures for General Value Functions. CoRR abs/1606.05593 (2016) - [i5]Kory W. Mathewson, Patrick M. Pilarski:
Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning. CoRR abs/1606.06979 (2016) - 2015
- [i4]Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Richard S. Sutton:
An Empirical Evaluation of True Online TD(λ). CoRR abs/1507.00353 (2015) - [i3]Harm van Seijen, Ashique Rupam Mahmood, Patrick M. Pilarski, Marlos C. Machado, Richard S. Sutton:
True Online Temporal-Difference Learning. CoRR abs/1512.04087 (2015) - 2014
- [j2]Claudio Castellini
Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography. Frontiers Neurorobotics 8: 22 (2014) - [i2]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 abs/1408.1913 (2014) - 2013
- [j1]Patrick M. Pilarski
Adaptive Artificial Limbs: A Real-Time Approach to Prediction and Anticipation. IEEE Robotics Autom. Mag. 20(1): 53-64 (2013) - [c7]Patrick M. Pilarski
Real-time prediction learning for the simultaneous actuation of multiple prosthetic joints. ICORR 2013: 1-8 - [i1]Ann L. Edwards, Alexandra Kearney, Michael Rory Dawson
Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb. CoRR abs/1309.4714 (2013) - 2012
- [c6]Patrick M. Pilarski, Richard S. Sutton:
Between Instruction and Reward: Human-Prompted Switching. AAAI Fall Symposium: Robots Learning Interactively from Human Teachers 2012 - [c5]Thomas Degris, Patrick M. Pilarski
Model-Free reinforcement learning with continuous action in practice. ACC 2012: 2177-2182 - [c4]Ashique Rupam Mahmood, Richard S. Sutton, Thomas Degris, Patrick M. Pilarski
Tuning-free step-size adaptation. ICASSP 2012: 2121-2124 - [c3]Joseph Modayil, Adam White, Patrick M. Pilarski
Acquiring a broad range of empirical knowledge in real time by temporal-difference learning. SMC 2012: 1903-1910 - 2011
- [c2]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: 761-768
2000 – 2009
- 2004
- [c1]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: 340-343
Coauthor Index
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last updated on 2024-11-11 21:30 CET by the dblp team
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