Eric Wiewiora
eric.wiewiora@gmail.com
Research Interests
 Reinforcment Learning Theory
 Exploration versus Exploitation
 Value function approximation
 Structured Policies
 Unsupervised Learning
 Predictive representations of dynamical systems
 Learning structure of time series
 Clustering
 Planning and Scheduling Algorithms
 Statistical Learning Theory
 Learning Motor Control
Education
 PhD from the University of California, San Diego 2007
 MS from the Unversity of California, San Diego, 2004
 BAS in Computer Science from the University of Pittsburgh
Publications
 Bala Kalyanasundarum and Eric Wiewiora. "Dynamic Spectrum Allocation"
University of Pittsburgh Undergraduate Research Fair. March, 2000.
 Kirk Pruhs and Eric Wiewiora. "Evaluating the Local Ratio Algorithm for Dynamic Storage",
4th Workshop on Algorithm Engineering and Experiments Jan 2002.
 Eric Wiewiora, Garrison Cottrell and Charles Elkan. "Principled Methods for Advising Reinforcement Learning
Agents", Proceedings of the Twentieth International Conference on
machine Learning. August, 2003.
 Eric Wiewiora. "PotentialBased Shaping and
QValue Initialization are Equivalent", Journal of
Artificial Intelligence Research, 2003.
 Eric Wiewiora. "Learning Predictive Representations from a History" Proceedings of the Twentysecond International Conference on Mchine Learning. 2005

Alex Strehl, Lihong Li, Eric Wiewiora, John Langford and Micheal Littman.
"PAC Modelfree Reinforcement Learning"
Proceedings of the Twentythird International Conference on Machine
Learning. 2006.

Andrew Rabinovich, Andrea Vedaldi, Carolina Galleguillos, Eric Wiewiora and Serge Belongie. "Objects in Context", Proceedings of the International Conference on Computer Vision. 2007.