Doctoral Dissertations Advised by Michael Littman
A list of my Ph.D. students.
Ali Nouri
(2010)
Efficient Model-based Exploration in Continuous State-space Environments
Solution Architect at Bank of America
Carlos Diuk Wasser
(2010)
An Object-oriented Representation for Efficient Reinforcement Learning
Postdoc at
Princeton University
Tom Walsh
(2010)
Efficient Learning of Relational Models for Sequential Decision Making
Postdoc at the
University of Arizona
, now Researcher in Accenture
Lihong Li
(2009)
A Unifying Framework for Computational Reinforcement Learning Theory
Postdoc at
Yahoo! Research
Bethany Leffler
(2008)
Perception-Based Generalization in Model-Based Reinforcement Learning
Instructor at
British Columbia Institute of Technology
, technical director of
Leffler Software Services
Brian Russell
(2008, co-advised with Wade Trappe)
Learning-based Route Management in Wireless Ad Hoc Networks
Lecturer at Rutgers University, AT&T Labs
Alexander L. Strehl
(2007)
Probably Approximately Correct (PAC) Exploration in Reinforcement Learning
Researcher at
Facebook
Fancong Zeng
(2007)
Just-in-time and Just-in-place Deadlock Resolution
Citigroup, Microsoft, now Amazon
Stephen Michael Majercik
[NASA Fellow] (
Duke
, 2000)
Planning Under Uncertainty via Stochastic Satisfiability
Associate Professor and Chair of
Computer Science at Bowdoin
Fan Jiang
(
Duke
, 2000)
Matrix Computations for Query Expansion in Information Retrieval
Blue Capital Group