(under Bethany R. Leffler)
Research Focus: Generalized reinforcement learning for mobile robotics
“Provably Efficient Learning with Typed Parametric Models”, Emily Brunskill, Bethany R. Leffler, Lihong Li, Michael L. Littman, and Nicholas Roy. Journal of Machine Learning Research, 2009.
“The Adaptive K-Meteorologists Problem and Its Application to Structure Learning and Feature Selection in Reinforcement Learning”, Carlos Diuk, Lihong Li, and Bethany R. Leffler. Proceedings of the International Conference on Machine Learning, 2009.
“Efficient Learning of Dynamics Models using Terrain Classification”, Bethany R. Leffler, Chris R. Mansley, and Michael L. Littman. Proceedings of the International Workshop on Evolutionary and Reinforcement Learning for Autonomous Robot Systems, 2008.
“CORL: A Continuous-State Offset-Dynamics Reinforcement Learner”, Emma Brunskill, Bethany R. Leffler, Lihong Li, Michael L. Littman, and Nicholas Roy. Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence. 2008.
“Efficient Reinforcement Learning with Relocatable Action Models”, Bethany R. Leffler, Michael L. Littman, and Timothy Edmunds. Proceedings of the Twenty-Second Conference on Artificial Intelligence, 2007.
“Efficient Exploration with Latent Structure”, Bethany R. Leffler, Michael L. Littman, Alexander L. Strehl, and Thomas Walsh. Proceedings of Robotics: Science and Systems, 2005.