Todd Hester

According to our database, Todd Hester authored at least 36 papers between 2006 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2021

Challenges of real-world reinforcement learning: definitions, benchmarks and analysis.

Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester

Mach. Learn., 2021

ETA Prediction with Graph Neural Networks in Google Maps.

Austin Derrow-Pinion, Jennifer She, David Wong, Oliver Lange, Todd Hester, Luis Perez, Marc Nunkesser, Seongjae Lee, Xueying Guo, Brett Wiltshire, Peter W. Battaglia, Vishal Gupta, Ang Li, Zhongwen Xu, Alvaro Sanchez-Gonzalez, Yujia Li, Petar Velickovic

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

An empirical investigation of the challenges of real-world reinforcement learning.

Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz, Jerry Li, Cosmin Paduraru, Sven Gowal, Todd Hester

CoRR, 2020

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Yuanyuan Shi, Jackie Kay, Todd Hester, Timothy A. Mann, Martin A. Riedmiller

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Robust Reinforcement Learning for Continuous Control with Model Misspecification.

Daniel J. Mankowitz, Nir Levine, Rae Jeong, Abbas Abdolmaleki, Jost Tobias Springenberg, Timothy A. Mann, Todd Hester, Martin A. Riedmiller

CoRR, 2019

Challenges of Real-World Reinforcement Learning.

Gabriel Dulac-Arnold, Daniel J. Mankowitz, Todd Hester

CoRR, 2019

A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning.

Mel Vecerík, Oleg Sushkov, David Barker, Thomas Rothörl, Todd Hester, Jonathan Scholz

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Observe and Look Further: Achieving Consistent Performance on Atari.

Tobias Pohlen, Bilal Piot, Todd Hester, Mohammad Gheshlaghi Azar, Dan Horgan, David Budden, Gabriel Barth-Maron, Hado van Hasselt, John Quan, Mel Vecerík, Matteo Hessel, Rémi Munos, Olivier Pietquin

CoRR, 2018

Safe Exploration in Continuous Action Spaces.

Gal Dalal, Krishnamurthy Dvijotham, Matej Vecerík, Todd Hester, Cosmin Paduraru, Yuval Tassa

CoRR, 2018

Deep Q-learning From Demonstrations.

Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Dan Horgan, John Quan, Andrew Sendonaris, Ian Osband, Gabriel Dulac-Arnold, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards.

Matej Vecerík, Todd Hester, Jonathan Scholz, Fumin Wang, Olivier Pietquin, Bilal Piot, Nicolas Heess, Thomas Rothörl, Thomas Lampe, Martin A. Riedmiller

CoRR, 2017

Learning from Demonstrations for Real World Reinforcement Learning.

Todd Hester, Matej Vecerík, Olivier Pietquin, Marc Lanctot, Tom Schaul, Bilal Piot, Andrew Sendonaris, Gabriel Dulac-Arnold, Ian Osband, John P. Agapiou, Joel Z. Leibo, Audrunas Gruslys

CoRR, 2017

Intrinsically motivated model learning for developing curious robots.

Todd Hester, Peter Stone

Artif. Intell., 2017

2016

Adaptive Lambda Least-Squares Temporal Difference Learning.

Timothy A. Mann, Hugo Penedones, Shie Mannor, Todd Hester

CoRR, 2016

2013

TEXPLORE: Temporal Difference Reinforcement Learning for Robots and Time-Constrained Domains.

Todd Hester

Studies in Computational Intelligence 503, Springer, ISBN: 978-3-319-01167-7, 2013

TEXPLORE: real-time sample-efficient reinforcement learning for robots.

Todd Hester, Peter Stone

Mach. Learn., 2013

The Open-Source TEXPLORE Code Release for Reinforcement Learning on Robots.

Todd Hester, Peter Stone

Proceedings of the RoboCup 2013: Robot World Cup XVII [papers from the 17th Annual RoboCup International Symposium, 2013

The 2012 UT Austin Villa Code Release.

Samuel Barrett, Katie Long Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, Peter Stone

Proceedings of the RoboCup 2013: Robot World Cup XVII [papers from the 17th Annual RoboCup International Symposium, 2013

Learning exploration strategies in model-based reinforcement learning.

Todd Hester, Manuel Lopes, Peter Stone

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012

UT Austin Villa 2012: Standard Platform League World Champions.

Samuel Barrett, Katie Long Genter, Yuchen He, Todd Hester, Piyush Khandelwal, Jacob Menashe, Peter Stone

Proceedings of the RoboCup 2012: Robot Soccer World Cup XVI [papers from the 16th Annual RoboCup International Symposium, 2012

RTMBA: A Real-Time Model-Based Reinforcement Learning Architecture for robot control.

Todd Hester, Michael J. Quinlan, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Intrinsically motivated model learning for a developing curious agent.

Todd Hester, Peter Stone

Proceedings of the 2012 IEEE International Conference on Development and Learning and Epigenetic Robotics, 2012

Learning and Using Models.

Todd Hester, Peter Stone

Proceedings of the Reinforcement Learning, 2012

2011

A Real-Time Model-Based Reinforcement Learning Architecture for Robot Control

Todd Hester, Michael J. Quinlan, Peter Stone

CoRR, 2011

2010

A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology.

Shyamal Patel, Richard Hughes, Todd Hester, Joel Stein, Metin Akay, Jennifer G. Dy, Paolo Bonato

Proc. IEEE, 2010

Generalized model learning for Reinforcement Learning on a humanoid robot.

Todd Hester, Michael J. Quinlan, Peter Stone

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Real time targeted exploration in large domains.

Todd Hester, Peter Stone

Proceedings of the 2010 IEEE 9th International Conference on Development and Learning, 2010

2009

Three Humanoid Soccer Platforms: Comparison and Synthesis.

Shivaram Kalyanakrishnan, Todd Hester, Michael J. Quinlan, Yinon Bentor, Peter Stone

Proceedings of the RoboCup 2009: Robot Soccer World Cup XIII [papers from the 13th annual RoboCup International Symposium, Graz, Austria, June 29, 2009

Generalized model learning for reinforcement learning in factored domains.

Todd Hester, Peter Stone

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008

Processing Wearable Sensor Data to Optimize Deep-Brain Stimulation.

Shyamal Patel, Todd Hester, Richard Hughes, Nancy Huggins, Alice Flaherty, David G. Standaert, John Growdon, Paolo Bonato

IEEE Pervasive Comput., 2008

Negative information and line observations for Monte Carlo localization.

Todd Hester, Peter Stone

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

The utility of temporal abstraction in reinforcement learning.

Nicholas K. Jong, Todd Hester, Peter Stone

Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2006

Identification of Tasks Performed by Stroke Patients Using a Mobility Assistive Device.

Todd Hester, Delsey M. Sherrill, Mathieu Hamel, Karine Perreault, Patrick Boissy, Paolo Bonato

Proceedings of the 28th International Conference of the IEEE Engineering in Medicine and Biology Society, 2006

Analysis of the Severity of Dyskinesia in Patients with Parkinson's Disease via Wearable Sensors.

Shyamal Patel, Delsey M. Sherrill, Richard Hughes, Todd Hester, Theresa Lie-Nemeth, Paolo Bonato, David G. Standaert, Nancy Huggins

Proceedings of the 2006 International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 2006

Using Wearable Sensors to Analyze the Quality of Use of Mobility Assistive Devices.

Todd Hester, Delsey M. Sherrill, Paolo Bonato, Mathieu Hamel, Karine Perreault, Patrick Boissy

Proceedings of the 2006 International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 2006

Using Wearable Sensors to Measure Motor Abilities following Stroke.

Todd Hester, Richard Hughes, Delsey M. Sherrill, Bethany Knorr, Metin Akay, Joel Stein, Paolo Bonato

Proceedings of the 2006 International Workshop on Wearable and Implantable Body Sensor Networks (BSN 2006), 2006