Thomas J. Walsh

Affiliations:
  • Sony AI, New York, NY, USA
  • Kronos Inc., Woburn, MA, USA (former)
  • Massachusetts Institute of Technology, Cambridge, MA, USA (former)
  • University of Kansas, Lawrence, KS, USA (former)
  • University of Arizona, Tucson, AZ, USA (former)
  • Rutgers University, New Brunswick, NJ, USA (PhD)


According to our database1, Thomas J. Walsh authored at least 37 papers between 2005 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Composing Efficient, Robust Tests for Policy Selection.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022
Outracing champion Gran Turismo drivers with deep reinforcement learning.
Nat., 2022

Event Tables for Efficient Experience Replay.
CoRR, 2022

2017
Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models.
IEEE Trans. Neural Networks Learn. Syst., 2017

2015
Bayesian Nonparametric Reward Learning From Demonstration.
IEEE Trans. Robotics, 2015

Real-World Reinforcement Learning via Multifidelity Simulators.
IEEE Trans. Robotics, 2015

2014
Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control.
J. Aerosp. Inf. Syst., 2014

Reinforcement learning with multi-fidelity simulators.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Sample Efficient Reinforcement Learning with Gaussian Processes.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning.
Found. Trends Mach. Learn., 2013

Batch-iFDD for Representation Expansion in Large MDPs.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

2012
Learning web-service task descriptions from traces.
Web Intell. Agent Syst., 2012

Dynamic Teaching in Sequential Decision Making Environments.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

2011
Knows what it knows: a framework for self-aware learning.
Mach. Learn., 2011

Democratic approximation of lexicographic preference models.
Artif. Intell., 2011

Towards Understanding How Humans Teach Robots.
Proceedings of the User Modeling, Adaption and Personalization, 2011

Gender Differences and the Value of Choice in Intelligent Tutoring Systems.
Proceedings of the User Modeling, Adaption and Personalization, 2011

Challenges to decoding the intention behind natural instruction.
Proceedings of the 20th IEEE International Symposium on Robot and Human Interactive Communication, 2011

Blending Autonomous Exploration and Apprenticeship Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Teaching and executing verb phrases.
Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

Learning a Skill-Teaching Curriculum with Dynamic Bayes Nets.
Proceedings of the Twenty-Third Conference on Innovative Applications of Artificial Intelligence, 2011

Human Natural Instruction of a Simulated Electronic Student.
Proceedings of the Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011

A Framework for Teaching and Executing Verb Phrases.
Proceedings of the Help Me Help You: Bridging the Gaps in Human-Agent Collaboration, 2011

Leadership Games and their Application in Super-Peer Networks.
Proceedings of the Applied Adversarial Reasoning and Risk Modeling, 2011

2010
Generalizing Apprenticeship Learning across Hypothesis Classes.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Integrating Sample-Based Planning and Model-Based Reinforcement Learning.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

Learning Lexicographic Preference Models.
Proceedings of the Preference Learning., 2010

2009
Learning and planning in environments with delayed feedback.
Auton. Agents Multi Agent Syst., 2009

Exploring compact reinforcement-learning representations with linear regression.
Proceedings of the UAI 2009, 2009

2008
Knows what it knows: a framework for self-aware learning.
Proceedings of the Machine Learning, 2008

Efficient Learning of Action Schemas and Web-Service Descriptions.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Planning and Learning in Environments with Delayed Feedback.
Proceedings of the Machine Learning: ECML 2007, 2007

A Multiple Representation Approach to Learning Dynamical Systems.
Proceedings of the Computational Approaches to Representation Change during Learning and Development, 2007

2006
Towards a Unified Theory of State Abstraction for MDPs.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2006

2005
Challenges in Securing Voice over IP.
IEEE Secur. Priv., 2005

Efficient Exploration With Latent Structure.
Proceedings of the Robotics: Science and Systems I, 2005

Towards Measuring Similarity in Description Logics.
Proceedings of the 2005 International Workshop on Description Logics (DL2005), 2005


  Loading...