Thomas J. Walsh
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Towards a Unified Theory of State Abstraction for MDPs.
L Li, TJ Walsh, ML Littman
ISAIM 4, 5, 2006
Security considerations for voice over IP systems
DR Kuhn, TJ Walsh, S Fries
NIST special publication 800, 2005
Knows what it knows: a framework for self-aware learning
L Li, ML Littman, TJ Walsh, AL Strehl
Machine learning 82 (3), 399-443, 2011
T0901317 is a dual LXR/FXR agonist
KA Houck, KM Borchert, CD Hepler, JS Thomas, KS Bramlett, LF Michael, ...
Molecular genetics and metabolism 83 (1-2), 184-187, 2004
Towards Measuring Similarity in Description Logics.
A Borgida, TJ Walsh, H Hirsh
Description Logics 147, 1-8, 2005
The founder mutation MSH2* 1906G→ C is an important cause of hereditary nonpolyposis colorectal cancer in the Ashkenazi Jewish population
WD Foulkes, I Thiffault, SB Gruber, M Horwitz, N Hamel, C Lee, J Shia, ...
The American Journal of Human Genetics 71 (6), 1395-1412, 2002
A tutorial on linear function approximators for dynamic programming and reinforcement learning
A Geramifard, TJ Walsh, S Tellex, G Chowdhary, N Roy, JP How
Foundations and TrendsŪ in Machine Learning 6 (4), 375-451, 2013
Challenges in securing voice over IP
TJ Walsh, DR Kuhn
IEEE Security & Privacy 3 (3), 44-49, 2005
Integrating sample-based planning and model-based reinforcement learning
T Walsh, S Goschin, M Littman
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010
Exploring compact reinforcement-learning representations with linear regression
TJ Walsh, I Szita, C Diuk, ML Littman
arXiv preprint arXiv:1205.2606, 2012
Efficient learning of action schemas and web-service descriptions.
TJ Walsh, ML Littman
AAAI 8, 714-719, 2008
A natural product ligand of the oxysterol receptor, liver X receptor
KS Bramlett, KA Houck, KM Borchert, MS Dowless, P Kulanthaivel, ...
Journal of Pharmacology and Experimental Therapeutics 307 (1), 291-296, 2003
A Chemical Switch Regulates Fibrate Specificity for Peroxisome Proliferator-activated Receptor α (PPARα) VersusLiver X Receptor
J Thomas, KS Bramlett, C Montrose, P Foxworthy, PI Eacho, D McCann, ...
Journal of Biological Chemistry 278 (4), 2403-2410, 2003
Reinforcement learning with multi-fidelity simulators
M Cutler, TJ Walsh, JP How
2014 IEEE International Conference on Robotics and Automation (ICRA), 3888-3895, 2014
Real-world reinforcement learning via multifidelity simulators
M Cutler, TJ Walsh, JP How
IEEE Transactions on Robotics 31 (3), 655-671, 2015
Bayesian nonparametric reward learning from demonstration
B Michini, TJ Walsh, AA Agha-Mohammadi, JP How
IEEE Transactions on Robotics 31 (2), 369-386, 2015
Ligand-dependent coactivation of the human bile acid receptor FXR by the peroxisome proliferator-activated receptor γ coactivator-1α
RS Savkur, JS Thomas, KS Bramlett, Y Gao, LF Michael, TP Burris
Journal of Pharmacology and Experimental Therapeutics 312 (1), 170-178, 2005
Transferring state abstractions between MDPs
TJ Walsh, L Li, ML Littman
ICML Workshop on Structural Knowledge Transfer for Machine Learning, 2006
Learning and planning in environments with delayed feedback
TJ Walsh, A Nouri, L Li, ML Littman
Autonomous Agents and Multi-Agent Systems 18 (1), 83-105, 2009
Sample efficient reinforcement learning with gaussian processes
R Grande, T Walsh, J How
International Conference on Machine Learning, 1332-1340, 2014
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