Matthew E. Taylor

According to our database1, Matthew E. Taylor authored at least 106 papers between 2005 and 2019.

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Bibliography

2019
Robot-enabled support of daily activities in smart home environments.
Cognitive Systems Research, 2019

2018
Leveraging human knowledge in tabular reinforcement learning: a study of human subjects.
Knowledge Eng. Review, 2018

Improving Reinforcement Learning with Human Input.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Autonomously Reusing Knowledge in Multiagent Reinforcement Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017
Bin-Dog: A Robotic Platform for Bin Management in Orchards.
Robotics, 2017

Scalable lifelong reinforcement learning.
Pattern Recognition, 2017

Nonconvex Policy Search Using Variational Inequalities.
Neural Computation, 2017

Multi-objectivization and ensembles of shapings in reinforcement learning.
Neurocomputing, 2017

An exploration strategy for non-stationary opponents.
Autonomous Agents and Multi-Agent Systems, 2017

Efficiently detecting switches against non-stationary opponents.
Autonomous Agents and Multi-Agent Systems, 2017

Improving Reinforcement Learning with Confidence-Based Demonstrations.
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

Interactive Learning from Policy-Dependent Human Feedback.
Proceedings of the 34th International Conference on Machine Learning, 2017

Speeding up Tabular Reinforcement Learning Using State-Action Similarities.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Curriculum Design for Machine Learners in Sequential Decision Tasks.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

An Exploration Strategy Facing Non-Stationary Agents.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Detecting Switches Against Non-Stationary Opponents.
Proceedings of the 16th Conference on Autonomous Agents and MultiAgent Systems, 2017

Solar Decathlon Competition: Towards a Solar-Powered Smart Home.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

AI Projects for Computer Science Capstone Classes (Extended Abstract).
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Scalable Multitask Policy Gradient Reinforcement Learning.
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.
Autonomous Agents and Multi-Agent Systems, 2016

Lifelong learning for disturbance rejection on mobile robots.
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

Learning from Demonstration for Shaping through Inverse Reinforcement Learning.
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

Towards Behavior-Aware Model Learning from Human-Generated Trajectories.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

Dimensionality Reduced Reinforcement Learning for Assistive Robots.
Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

Identifying and Tracking Switching, Non-Stationary Opponents: A Bayesian Approach.
Proceedings of the Multiagent Interaction without Prior Coordination, 2016

2015
Transfer learning with probabilistic mapping selection.
Adaptive Behaviour, 2015

Towards Integrating Real-Time Crowd Advice with Reinforcement Learning.
Proceedings of the 20th International Conference on Intelligent User Interfaces Companion, 2015

Reinforcement Learning from Demonstration through Shaping.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Bidding in Non-Stationary Energy Markets.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Policy Transfer using Reward Shaping.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

Online Transfer Learning in Reinforcement Learning Domains.
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

Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents.
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
Reinforcement learning agents providing advice in complex video games.
Connect. Sci., 2014

Distributed learning and multi-objectivity in traffic light control.
Connect. Sci., 2014

CLEAN Rewards to Improve Coordination by Removing Exploratory Action Noise.
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

An Autonomous Transfer Learning Algorithm for TD-Learners.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Learning something from nothing: Leveraging implicit human feedback strategies.
Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication, 2014

Agents Teaching Agents in Reinforcement Learning (Nectar Abstract).
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Multi-objectivization of reinforcement learning problems by reward shaping.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Online Multi-Task Learning for Policy Gradient Methods.
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

A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Mitigating multi-path fading in a mobile mesh network.
Ad Hoc Networks, 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

Teaching on a budget: agents advising agents in reinforcement learning.
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

Learning for Mobile-Robot Error Recovery (Extended Abstract).
Proceedings of the Designing Intelligent Robots: Reintegrating AI II, 2013

2012
Towards student/teacher learning in sequential decision tasks.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Reinforcement learning transfer via sparse coding.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
An Introduction to Intertask Transfer for Reinforcement Learning.
AI Magazine, 2011

Distributed on-Line Multi-Agent Optimization under Uncertainty: Balancing Exploration and Exploitation.
Advances in Complex Systems, 2011

Editorial: Agents and Multi-Agent Systems.
Advances in Complex Systems, 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

Transfer Learning via Multiple Inter-task Mappings.
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011

Reinforcement Learning Transfer Using a Sparse Coded Inter-task Mapping.
Proceedings of the Multi-Agent Systems - 9th European Workshop, 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

Integrating reinforcement learning with human demonstrations of varying ability.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Metric learning for reinforcement learning agents.
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

Teamwork in distributed POMDPs: execution-time coordination under model uncertainty.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

Reinforcement Learning Transfer via Common Subspaces.
Proceedings of the Adaptive and Learning Agents - International Workshop, 2011

Protecting against evaluation overfitting in empirical reinforcement learning.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

Using Human Demonstrations to Improve Reinforcement Learning.
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.
Autonomous Agents and Multi-Agent Systems, 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

Evolving Compiler Heuristics to Manage Communication and Contention.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Teamwork and Coordination under Model Uncertainty in DEC-POMDPs.
Proceedings of the Interactive Decision Theory and Game Theory, 2010

2009
Transfer in Reinforcement Learning Domains
Studies in Computational Intelligence 216, Springer, ISBN: 978-3-642-01881-7, 2009

Transfer Learning for Reinforcement Learning Domains: A Survey.
J. Mach. Learn. Res., 2009

AAAI 2008 Workshop Reports.
AI Magazine, 2009

DCOPs Meet the Real World: Exploring Unknown Reward Matrices with Applications to Mobile Sensor Networks.
Proceedings of the IJCAI 2009, 2009

Abstraction and Generalization in Reinforcement Learning: A Summary and Framework.
Proceedings of the Adaptive and Learning Agents, Second Workshop, 2009

Exploiting Coordination Locales in Distributed POMDPs via Social Model Shaping.
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
Transferring Instances for Model-Based Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Autonomous transfer for reinforcement learning.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

Transfer Learning and Intelligence: an Argument and Approach.
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
Transfer Learning via Inter-Task Mappings for Temporal Difference Learning.
J. Mach. Learn. Res., 2007

Empirical Studies in Action Selection with Reinforcement Learning.
Adaptive Behaviour, 2007

Cross-domain transfer for reinforcement learning.
Proceedings of the Machine Learning, 2007

Guiding Inference with Policy Search Reinforcement Learning.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Autonomous Classification of Knowledge into an Ontology.
Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, 2007

Transfer via inter-task mappings in policy search reinforcement learning.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Towards reinforcement learning representation transfer.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

IFSA: incremental feature-set augmentation for reinforcement learning tasks.
Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

Representation Transfer for Reinforcement Learning.
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

Representation Transfer via Elaboration.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

Autonomous Inter-Task Transfer in Reinforcement Learning Domains.
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

Inter-Task Action Correlation for Reinforcement Learning Tasks.
Proceedings of the Proceedings, 2006

2005
Keepaway Soccer: From Machine Learning Testbed to Benchmark.
Proceedings of the RoboCup 2005: Robot Soccer World Cup IX, 2005

Behavior transfer for value-function-based reinforcement learning.
Proceedings of the 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), 2005

Value Functions for RL-Based Behavior Transfer: A Comparative Study.
Proceedings of the Proceedings, 2005


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