Doctoral Dissertations Advised by Michael Littman

A list of my graduated Ph.D. students.
Vukosi Marivate (Rutgers, 2014) Improved Empirical Methods in Reinforcement-Learning Evaluation Council for Scientific and Industrial Research (CSIR)
Monica Babeș-Vroman (Rutgers, 2014) Maximum Likelihood Inverse Reinforcement Learning Not yet.
Sergiu Goschin (Rutgers, 2014, co-advised with Haym Hirsh) Stochastic Dilemmas: Foundations and Applications Engineer at Google NYC.
Ari Weinstein (Rutgers, 2013) Local Planning for Continuous Markov Decision Processes Research at Google Deep Mind. Was postdoc at Princeton University.
Michael Wunder (Rutgers, 2013, co-advised with Matthew Stone) Transferable Strategic Meta-Reasoning Models Was Consumr.
John Asmuth (Rutgers, 2013) Model-based Bayesian Reinforcement Learning with Generalized Priors Engineer at Google NYC..
Ali Nouri (Rutgers, 2010) Efficient Model-based Exploration in Continuous State-space Environments Engineer at Google LAX. Was Solution Architect at Bank of America.
Carlos Diuk Wasser (Rutgers, 2010) An Object-oriented Representation for Efficient Reinforcement Learning Data Science team at Facebook. Was postdoc at Princeton University.
Tom Walsh (Rutgers, 2010) Efficient Learning of Relational Models for Sequential Decision Making Kronos. Was postdoctoral researcher with the Laboratory for Information and Decision Systems (LIDS) at MIT. Was Research assistant with the Center for Educational Testing and Evaluation (CETE) at the University of Kansas. Was researcher in Accenture. Was postdoc at the University of Arizona.
Lihong Li (Rutgers, 2009) A Unifying Framework for Computational Reinforcement Learning Theory Researcher at Microsoft Research. Was researcher at Yahoo! Research.
Bethany Edmunds (nee Leffler) (Rutgers, 2008) Perception-Based Generalization in Model-Based Reinforcement Learning Instructor at British Columbia Institute of Technology and technical director of Leffler Software Services.
Brian Russell (Rutgers, 2008, co-advised with Wade Trappe) Learning-based Route Management in Wireless Ad Hoc Networks Lecturer at Rutgers University. Was AT&T Labs.
Alexander L. Strehl (Rutgers, 2007) Probably Approximately Correct (PAC) Exploration in Reinforcement Learning Researcher at Facebook.
Fancong Zeng (Rutgers, 2007) Just-in-time and Just-in-place Deadlock Resolution Engineer at Amazon. Was engineer at Citigroup. Was engineer at Microsoft.
Stephen Michael Majercik [NASA Fellow] (Duke, 2000) Planning Under Uncertainty via Stochastic Satisfiability Associate Professor of Computer Science at Bowdoin.
Fan Jiang (Duke, 2000) Matrix Computations for Query Expansion in Information Retrieval Developer at Getco LLC. Was employee at Blue Capital Group.