Presentations

Experimental State Splitting for Transfer Learning -- C. Morrison, Y. Chang, P. R. Cohen, J. Moody
Memory Organization and Knowledge Transfer -- D. J. Stracuzzi
Transfer Learning with Markov Logic Networks -- L. Mihalkova, R. Mooney
Multi-task Feature Selection -- G. Obozinski, B. Taskar, M. Jordan
Value Function Transfer for General Game Playing -- B. Banerjee, G. Kuhlmann, P. Stone
Defining Object Types and Options Using MDP Homomorphisms -- A. Wolfe, A. Barto
Tranferring State Abstractions Between MDPs -- T. J. Walsh, L. Li, M. L. Littman
Relational Skill Transfer via Advice Taking -- L. Torrey, J. Shavlik, T. Walker, R. Maclin

Posters

Learning Skill and Representation Hierarchies for Effective Control Knowledge Transfer -- M. Asadi, V. Papudesi, M. Huber

Learning Reusable Skills through Self-Motivation -- A. Bonarini, A. Lazaric , M. Restelli

Transfer Learning for Reinforcement Learning through Goal and Policy Parametrization -- K. Driessens, J. Ramon, T. Croonenborghs

Knowledge Transfer with a Multiresolution Ensemble of Classifiers -- E. Eaton, M. desJardins

Proto-transfer Learning in Markov Decision Processes Using Spectral Methods -- K. Ferguson, S. Mahadevan

Policy Reuse for Transfer Learning Across Tasks with Different State and Action Spaces -- F. Fernandez, M. Veloso

A Qualitative Representation of Structural Spatial Knowledge for Robot Navigation with Reinforcement Learning -- L. Frommberger

Enabling MDP Solution Transfer by Abstraction -- A. von Hessling, A. Goel

A Framework for Transfer in Reinforcement Learning -- G. Konidaris

Transfer Learning Evaluation with Relational Nets -- N. Love

Transfer of Knowledge Structures with Relational Temporal Difference Learning -- D. Stracuzzi, N. Asgharbeygi

Transfer Learning for Policy Search Methods -- M. Taylor, P. Stone