Matthew E. Taylor
Orcid: 0009-0005-7107-0123
According to our database1,
Matthew E. Taylor
authored at least 209 papers
between 2005 and 2024.
Collaborative distances:
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Bibliography
2024
Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunities.
J. Artif. Intell. Res., 2024
Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic Sparsity.
CoRR, 2024
CoRR, 2024
Proceedings of the RESPECT Annual Conference, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Improving reinforcement learning with human assistance: an argument for human subject studies with HIPPO Gym.
Neural Comput. Appl., November, 2023
Auton. Agents Multi Agent Syst., October, 2023
Trans. Mach. Learn. Res., 2023
A conceptual framework for externally-influenced agents: an assisted reinforcement learning review.
J. Ambient Intell. Humaniz. Comput., 2023
Human-AI Collaboration in Real-World Complex Environment with Reinforcement Learning.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023
RL-Ripper: : A Framework for Global Routing Using Reinforcement Learning and Smart Net Ripping Techniques.
Proceedings of the Great Lakes Symposium on VLSI 2023, 2023
Proceedings of the IEEE Frontiers in Education Conference, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Do As You Teach: A Multi-Teacher Approach to Self-Play in Deep Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Automatic Noise Filtering with Dynamic Sparse Training in Deep Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Hiking up that HILL with Cogment-Verse: Train & Operate Multi-agent Systems Learning from Humans.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
C<sup>2</sup>Tutor: Helping People Learn to Avoid Present Bias During Decision Making.
Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Lucid dreaming for experience replay: refreshing past states with the current policy.
Neural Comput. Appl., 2022
Neural Comput. Appl., 2022
CoRR, 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
CoRR, 2022
Cross-domain adaptive transfer reinforcement learning based on state-action correspondence.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
PMIC: Improving Multi-Agent Reinforcement Learning with Progressive Mutual Information Collaboration.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning.
CoRR, 2021
CoRR, 2021
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging.
CoRR, 2021
Proceedings of the NeurIPS 2022 Competition Track, 2021
Reinforcement Learning for Electronic Design Automation: Successes and Opportunities.
Proceedings of the ISPD '21: International Symposium on Physical Design, 2021
Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Sensors, 2020
J. Mach. Learn. Res., 2020
Effects of a computer-based learning environment that teaches older adults how to install a smart home system.
Comput. Educ., 2020
Sequential Association Rule Mining for Autonomously Extracting Hierarchical Task Structures in Reinforcement Learning.
IEEE Access, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Providing Uncertainty-Based Advice for Deep Reinforcement Learning Agents (Student Abstract).
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Analysis of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction.
IEEE Trans. Knowl. Data Eng., 2019
Knowl. Eng. Rev., 2019
Knowl. Eng. Rev., 2019
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning.
CoRR, 2019
Cogn. Syst. Res., 2019
Auton. Agents Multi Agent Syst., 2019
Towers of Saliency: A Reinforcement Learning Visualization Using Immersive Environments.
Proceedings of the 2019 ACM International Conference on Interactive Surfaces and Spaces, 2019
Metatrace Actor-Critic: Online Step-Size Tuning by Meta-gradient Descent for Reinforcement Learning Control.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human and Agent Demonstrations.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Achieving cooperation through deep multiagent reinforcement learning in sequential prisoner's dilemmas.
Proceedings of the First International Conference on Distributed Artificial Intelligence, 2019
Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019
Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019
Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019
Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019
2018
IEEE Trans. Emerg. Top. Comput. Intell., 2018
Leveraging human knowledge in tabular reinforcement learning: a study of human subjects.
Knowl. Eng. Rev., 2018
CoRR, 2018
Autonomous Extraction of a Hierarchical Structure of Tasks in Reinforcement Learning, A Sequential Associate Rule Mining Approach.
CoRR, 2018
Is multiagent deep reinforcement learning the answer or the question? A brief survey.
CoRR, 2018
Metatrace: Online Step-size Tuning by Meta-gradient Descent for Reinforcement Learning Control.
CoRR, 2018
Interactive Reinforcement Learning with Dynamic Reuse of Prior Knowledge from Human/Agent's Demonstration.
CoRR, 2018
Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach.
CoRR, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Neurocomputing, 2017
Autonomous Extracting a Hierarchical Structure of Tasks in Reinforcement Learning and Multi-task Reinforcement Learning.
CoRR, 2017
Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning.
CoRR, 2017
Auton. Agents Multi Agent Syst., 2017
Auton. Agents Multi Agent Syst., 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning.
Auton. Agents Multi Agent Syst., 2016
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Theoretically-Grounded Policy Advice from Multiple Teachers in Reinforcement Learning Settings with Applications to Negative Transfer.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans.
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
A Bayesian Approach for Learning and Tracking Switching, Non-Stationary Opponents: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016
Effective Transfer via Demonstrations in Reinforcement Learning: A Preliminary Study.
Proceedings of the 2016 AAAI Spring Symposia, 2016
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016
Proceedings of the Multiagent Interaction without Prior Coordination, 2016
2015
Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015
On the Ability to Provide Demonstrations on a UAS: Observing 90 Untrained Participants Abusing a Flying Robot.
Proceedings of the 2015 AAAI Fall Symposia, Arlington, Virginia, USA, November 12-14, 2015, 2015
Proceedings of the Learning for General Competency in Video Games, 2015
Unsupervised Cross-Domain Transfer in Policy Gradient Reinforcement Learning via Manifold Alignment.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Connect. Sci., 2014
Connect. Sci., 2014
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014
Proceedings of the Artificial Intelligence: Methods and Applications, 2014
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Using Ensemble Techniques and Multi-Objectivization to Solve Reinforcement Learning Problems.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
CLEANing the reward: counterfactual actions to remove exploratory action noise in multiagent learning (extended abstract).
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
Adaptive objective selection for correlated objectives in multi-objective reinforcement learning.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
2013
Automatically Mapped Transfer between Reinforcement Learning Tasks via Three-Way Restricted Boltzmann Machines.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013
Autonomous Selection of Inter-Task Mappings in Transfer Learning (extended abstract).
Proceedings of the Lifelong Machine Learning, 2013
Proceedings of the Designing Intelligent Robots: Reintegrating AI II, 2013
2012
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012
2011
Distributed on-Line Multi-Agent Optimization under Uncertainty: Balancing Exploration and Exploitation.
Adv. Complex Syst., 2011
Towards Addressing Model Uncertainty: Robust Execution-Time Coordination for Teamwork.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2011
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
Proceedings of the Multi-Agent Systems - 9th European Workshop, 2011
Proceedings of the Second Symposium on Education Advances in Artificial Intelligence, 2011
Proceedings of the Second Symposium on Education Advances in Artificial Intelligence, 2011
ESCAPES: evacuation simulation with children, authorities, parents, emotions, and social comparison.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
Flood Disaster Mitigation: A Real-World Challenge Problem for Multi-agent Unmanned Surface Vehicles.
Proceedings of the Advanced Agent Technology, 2011
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011
Proceedings of the Adaptive and Learning Agents - International Workshop, 2011
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
Proceedings of the Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011
2010
A Framework for Evaluating Deployed Security Systems: Is There a Chink in your ARMOR?
Informatica (Slovenia), 2010
Critical factors in the empirical performance of temporal difference and evolutionary methods for reinforcement learning.
Auton. Agents Multi Agent Syst., 2010
When should there be a "Me" in "Team"?: distributed multi-agent optimization under uncertainty.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010
Proceedings of the Interactive Decision Theory and Game Theory, 2010
2009
Studies in Computational Intelligence 216, Springer, ISBN: 978-3-642-01881-7, 2009
J. Mach. Learn. Res., 2009
DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks.
Proceedings of the IJCAI 2009, 2009
Proceedings of the Adaptive and Learning Agents, Second Workshop, 2009
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009
Assisting Transfer-Enabled Machine Learning Algorithms: Leveraging Human Knowledge for Curriculum Design.
Proceedings of the Agents that Learn from Human Teachers, 2009
2008
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008
Proceedings of the Artificial General Intelligence 2008, 2008
Feature selection and policy optimization for distributed instruction placement using reinforcement learning.
Proceedings of the 17th International Conference on Parallel Architectures and Compilation Techniques, 2008
2007
J. Mach. Learn. Res., 2007
Adapt. Behav., 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007
Proceedings of the Computational Approaches to Representation Change during Learning and Development, 2007
Temporal Difference and Policy Search Methods for Reinforcement Learning: An Empirical Comparison.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007
2006
Comparing evolutionary and temporal difference methods in a reinforcement learning domain.
Proceedings of the Genetic and Evolutionary Computation Conference, 2006
Proceedings of the Proceedings, 2006
2005
Proceedings of the RoboCup 2005: Robot Soccer World Cup IX, 2005
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005
Proceedings of the Proceedings, 2005