Thomas J. Walsh

41 papers A* 7A 6B 1C 1Journal 15Unranked 10

Year	Rank	Type	Title / Venue / Authors
2023	A	`conf`	Composing Efficient, Robust Tests for Policy Selection. UAI Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
2023	J	`jnl`	Composing Efficient, Robust Tests for Policy Selection. CoRR Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
2022	J	`jnl`	Outracing champion Gran Turismo drivers with deep reinforcement learning. Nat. Peter R. Wurman, Samuel Barrett, Kenta Kawamoto, James MacGlashan, Kaushik Subramanian, Thomas J. Walsh, Roberto Capobianco, Alisa Devlic, Franziska Eckert, Florian Fuchs, Leilani Gilpin, Piyush Khandelwal, Varun Raj Kompella, HaoChih Lin, Patrick MacAlpine, Declan Oller, Takuma Seno, Craig Sherstan, Michael D. Thomure, Houmehr Aghabozorgi, Leon Barrett, Rory Douglas, Dion Whitehead, Peter Dürr, Peter Stone, Michael Spranger, Hiroaki Kitano
2017	J	`jnl`	Online Regression for Data With Changepoints Using Gaussian Processes and Reusable Models. IEEE Trans. Neural Networks Learn. Syst. Robert C. Grande, Thomas J. Walsh, Girish Chowdhary, Sarah Ferguson, Jonathan P. How
2015	J	`jnl`	Bayesian Nonparametric Reward Learning From Demonstration. IEEE Trans. Robotics Bernard Michini, Thomas J. Walsh, Ali-Akbar Agha-Mohammadi, Jonathan P. How
2015	J	`jnl`	Real-World Reinforcement Learning via Multifidelity Simulators. IEEE Trans. Robotics Mark Cutler, Thomas J. Walsh, Jonathan P. How
2014	A*	`conf`	Reinforcement learning with multi-fidelity simulators. ICRA Mark Cutler, Thomas J. Walsh, Jonathan P. How
2014	A*	`conf`	Sample Efficient Reinforcement Learning with Gaussian Processes. ICML Robert C. Grande, Thomas J. Walsh, Jonathan P. How
2014	J	`jnl`	Special Issue on Aerospace and Mechanical Applications of Reinforcement Learning and Adaptive Learning Based Control. J. Aerosp. Inf. Syst. Jonathan P. How, Girish Chowdhary, Thomas J. Walsh
2013	J	`jnl`	A Tutorial on Linear Function Approximators for Dynamic Programming and Reinforcement Learning. Found. Trends Mach. Learn. Alborz Geramifard, Thomas J. Walsh, Stefanie Tellex, Girish Chowdhary, Nicholas Roy, Jonathan P. How
2013	A	`conf`	Batch-iFDD for Representation Expansion in Large MDPs. UAI Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan P. How
2013	J	`jnl`	Batch-iFDD for Representation Expansion in Large MDPs. CoRR Alborz Geramifard, Thomas J. Walsh, Nicholas Roy, Jonathan P. How
2012	J	`jnl`	Dynamic Teaching in Sequential Decision Making Environments CoRR Thomas J. Walsh, Sergiu Goschin
2012	A	`conf`	Dynamic Teaching in Sequential Decision Making Environments. UAI Thomas J. Walsh, Sergiu Goschin
2012	J	`jnl`	Exploring compact reinforcement-learning representations with linear regression CoRR Thomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman
2012	J	`jnl`	Learning web-service task descriptions from traces. Web Intell. Agent Syst. Thomas J. Walsh, Michael L. Littman, Alexander Borgida
2011	—	`conf`	A Framework for Teaching and Executing Verb Phrases. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration Daniel Hewlett, Thomas J. Walsh, Paul R. Cohen
2011	—	`conf`	Blending Autonomous Exploration and Apprenticeship Learning. NIPS Thomas J. Walsh, Daniel Hewlett, Clayton T. Morrison
2011	B	`conf`	Challenges to decoding the intention behind natural instruction. RO-MAN Raquel Torres Peralta, Tasneem Kaochar, Ian R. Fasel, Clayton T. Morrison, Thomas J. Walsh, Paul R. Cohen
2011	J	`jnl`	Democratic approximation of lexicographic preference models. Artif. Intell. Fusun Yaman, Thomas J. Walsh, Michael L. Littman, Marie desJardins
2011	A	`conf`	Gender Differences and the Value of Choice in Intelligent Tutoring Systems. UMAP Derek T. Green, Thomas J. Walsh, Paul R. Cohen, Carole R. Beal, Yu-Han Chang
2011	—	`conf`	Human Natural Instruction of a Simulated Electronic Student. AAAI Spring Symposium: Help Me Help You: Bridging the Gaps in Human-Agent Collaboration Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Thomas J. Walsh, Ian R. Fasel, Sumin Beyon, Anh Tran, Jeremy B. Wright, Paul R. Cohen
2011	J	`jnl`	Knows what it knows: a framework for self-aware learning. Mach. Learn. Lihong Li, Michael L. Littman, Thomas J. Walsh, Alexander L. Strehl
2011	—	`conf`	Leadership Games and their Application in Super-Peer Networks. Applied Adversarial Reasoning and Risk Modeling Thomas J. Walsh, Javad Taheri, Jeremy B. Wright, Paul R. Cohen
2011	C	`conf`	Learning a Skill-Teaching Curriculum with Dynamic Bayes Nets. IAAI Derek T. Green, Thomas J. Walsh, Paul R. Cohen, Yu-Han Chang
2011	—	`conf`	Teaching and executing verb phrases. ICDL-EPIROB Daniel Hewlett, Thomas J. Walsh, Paul R. Cohen
2011	A	`conf`	Towards Understanding How Humans Teach Robots. UMAP Tasneem Kaochar, Raquel Torres Peralta, Clayton T. Morrison, Ian R. Fasel, Thomas J. Walsh, Paul R. Cohen
2010	A*	`conf`	Generalizing Apprenticeship Learning across Hypothesis Classes. ICML Thomas J. Walsh, Kaushik Subramanian, Michael L. Littman, Carlos Diuk
2010	A*	`conf`	Integrating Sample-Based Planning and Model-Based Reinforcement Learning. AAAI Thomas J. Walsh, Sergiu Goschin, Michael L. Littman
2010	—	`ch.`	Learning Lexicographic Preference Models. Preference Learning Fusun Yaman, Thomas J. Walsh, Michael L. Littman, Marie desJardins
2009	A	`conf`	Exploring compact reinforcement-learning representations with linear regression. UAI Thomas J. Walsh, Istvan Szita, Carlos Diuk, Michael L. Littman
2009	J	`jnl`	Learning and planning in environments with delayed feedback. Auton. Agents Multi Agent Syst. Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman
2008	A*	`conf`	Democratic approximation of lexicographic preference models. ICML Fusun Yaman, Thomas J. Walsh, Michael L. Littman, Marie desJardins
2008	A*	`conf`	Efficient Learning of Action Schemas and Web-Service Descriptions. AAAI Thomas J. Walsh, Michael L. Littman
2008	A*	`conf`	Knows what it knows: a framework for self-aware learning. ICML Lihong Li, Michael L. Littman, Thomas J. Walsh
2007	—	`conf`	A Multiple Representation Approach to Learning Dynamical Systems. AAAI Fall Symposium: Computational Approaches to Representation Change during Learning and Development Thomas J. Walsh, Michael L. Littman
2007	—	`conf`	Planning and Learning in Environments with Delayed Feedback. ECML Thomas J. Walsh, Ali Nouri, Lihong Li, Michael L. Littman
2006	—	`conf`	Towards a Unified Theory of State Abstraction for MDPs. AI&M Lihong Li, Thomas J. Walsh, Michael L. Littman
2005	J	`jnl`	Challenges in Securing Voice over IP. IEEE Secur. Priv. Thomas J. Walsh, D. Richard Kuhn
2005	—	`conf`	Efficient Exploration With Latent Structure. Robotics: Science and Systems Bethany R. Leffler, Michael L. Littman, Alexander L. Strehl, Thomas J. Walsh
2005	—	`conf`	Towards Measuring Similarity in Description Logics. Description Logics Alexander Borgida, Thomas J. Walsh, Haym Hirsh