Patrick M. Pilarski
Orcid: 0000-0003-1686-2978
According to our database1,
Patrick M. Pilarski
authored at least 72 papers
between 2004 and 2023.
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Bibliography
2023
Communicative capital: a key resource for human-machine shared agency and collaborative capacity.
Neural Comput. Appl., August, 2023
Embodied Communication: How Robots and People Communicate Through Physical Interaction.
Annu. Rev. Control. Robotics Auton. Syst., May, 2023
Trans. Mach. Learn. Res., 2023
Continually Learned Pavlovian Signalling Without Forgetting for Human-in-the-Loop Robotic Control.
CoRR, 2023
Adapt. Behav., 2023
A Case Series in Position-Aware Myoelectric Prosthesis Control Using Recurrent Convolutional Neural Network Classification with Transfer Learning.
Proceedings of the International Conference on Rehabilitation Robotics, 2023
2022
Recurrent Convolutional Neural Networks as an Approach to Position-Aware Myoelectric Prosthesis Control.
IEEE Trans. Biomed. Eng., 2022
Prediction, Knowledge, and Explainability: Examining the Use of General Value Functions in Machine Knowledge.
Frontiers Artif. Intell., 2022
Editorial: Robotics, Autonomous Systems and AI for Nonurgent/Nonemergent Healthcare Delivery During and After the COVID-19 Pandemic.
Frontiers Robotics AI, 2022
Joint Action is a Framework for Understanding Partnerships Between Humans and Upper Limb Prostheses.
CoRR, 2022
CoRR, 2022
CoRR, 2022
Prototyping three key properties of specific curiosity in computational reinforcement learning.
CoRR, 2022
A Brief Guide to Designing and Evaluating Human-Centered Interactive Machine Learning.
CoRR, 2022
The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents.
CoRR, 2022
Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making.
CoRR, 2022
Composite Recurrent Convolutional Neural Networks Offer a Position-Aware Prosthesis Control Alternative While Balancing Predictive Accuracy with Training Burden.
Proceedings of the International Conference on Rehabilitation Robotics, 2022
Machine-learned Adaptive Switching in Voluntary Lower-limb Exoskeleton Control: Preliminary Results.
Proceedings of the International Conference on Rehabilitation Robotics, 2022
What Should I Know? Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience.
Proceedings of the Conference on Lifelong Learning Agents, 2022
Towards Situated Communication in Multi-Step Interactions: Time is a Key Pressure in Communication Emergence.
Proceedings of the 44th Annual Meeting of the Cognitive Science Society, 2022
2021
Machine Learning for the Control of Prosthetic Arms: Using Electromyographic Signals for Improved Performance.
IEEE Signal Process. Mag., 2021
Frontiers Neurorobotics, 2021
Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study.
CoRR, 2021
CoRR, 2021
Sub-centimeter 3D gaze vector accuracy on real-world tasks: an investigation of eye and motion capture calibration routines.
Proceedings of the ETRA '21 Adjunct: 2021 Symposium on Eye Tracking Research and Applications, 2021
2020
Comparison of Attentive and Explicit Eye Gaze Interfaces for Controlling Haptic Guidance of a Robotic Controller.
J. Medical Robotics Res., 2020
Examining the Use of Temporal-Difference Incremental Delta-Bar-Delta for Real-World Predictive Knowledge Architectures.
Frontiers Robotics AI, 2020
Document-editing Assistants and Model-based Reinforcement Learning as a Path to Conversational AI.
CoRR, 2020
What's a Good Prediction? Issues in Evaluating General Value Functions Through Error.
CoRR, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
General Dynamic Neural Networks for explainable PID parameter tuning in control engineering: An extensive comparison.
CoRR, 2019
Learned human-agent decision-making, communication and joint action in a virtual reality environment.
CoRR, 2019
Learning Gentle Object Manipulation with Curiosity-Driven Deep Reinforcement Learning.
CoRR, 2019
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning.
CoRR, 2019
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019
Exploring the Impact of Machine-Learned Predictions on Feedback from an Artificial Limb.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019
Supporting Play by Applying Haptic Guidance Along a Surface Learnt from Single Motion Trajectories.
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019
Proceedings of the 16th IEEE International Conference on Rehabilitation Robotics, 2019
Meta-learning for Predictive Knowledge Architectures: A Case Study Using TIDBD on a Sensor-rich Robotic Arm.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019
2018
Frontiers Robotics AI, 2018
CoRR, 2018
Accelerating Learning in Constructive Predictive Frameworks with the Successor Representation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Context-Aware Learning from Demonstration: Using Camera Data to Support the Synergistic Control of a Multi-Joint Prosthetic Arm.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
Preliminary Testing of a Telerobotic Haptic System and Analysis of Visual Attention During a Playful Activity.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
Initial Investigation of a Self-Adjusting Wrist Control System to Maintain Prosthesis Terminal Device Orientation Relative to the Ground Reference Frame.
Proceedings of the 7th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2018
2017
Frontiers Neurorobotics, 2017
CoRR, 2017
Assessment of feature selection and classification methods for recognizing motor imagery tasks from electroencephalographic signals.
Artif. Intell. Res., 2017
Learning from demonstration: Teaching a myoelectric prosthesis with an intact limb via reinforcement learning.
Proceedings of the International Conference on Rehabilitation Robotics, 2017
Representing high-dimensional data to intelligent prostheses and other wearable assistive robots: A first comparison of tile coding and selective Kanerva coding.
Proceedings of the International Conference on Rehabilitation Robotics, 2017
Reinforcement Learning Based Embodied Agents Modelling Human Users Through Interaction and Multi-Sensory Perception.
Proceedings of the 2017 AAAI Spring Symposia, 2017
2016
Face valuing: Training user interfaces with facial expressions and reinforcement learning.
CoRR, 2016
Simultaneous Control and Human Feedback in the Training of a Robotic Agent with Actor-Critic Reinforcement Learning.
CoRR, 2016
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
Machine learning and unlearning to autonomously switch between the functions of a myoelectric arm.
Proceedings of the 6th IEEE International Conference on Biomedical Robotics and Biomechatronics, 2016
Proceedings of the Artificial General Intelligence - 9th International Conference, 2016
2015
2014
Proceedings of the first workshop on Peripheral Machine Interfaces: going beyond traditional surface electromyography.
Frontiers Neurorobotics, 2014
Using Learned Predictions as Feedback to Improve Control and Communication with an Artificial Limb: Preliminary Findings.
CoRR, 2014
2013
IEEE Robotics Autom. Mag., 2013
Temporal-Difference Learning to Assist Human Decision Making during the Control of an Artificial Limb.
CoRR, 2013
Real-time prediction learning for the simultaneous actuation of multiple prosthetic joints.
Proceedings of the IEEE 13th International Conference on Rehabilitation Robotics, 2013
2012
Acquiring a broad range of empirical knowledge in real time by temporal-difference learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2012
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Proceedings of the American Control Conference, 2012
Proceedings of the Robots Learning Interactively from Human Teachers, 2012
2011
Horde: a scalable real-time architecture for learning knowledge from unsupervised sensorimotor interaction.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
2004
Proceedings of the 2004 International Conference on MEMS, 2004