MacGlashan, James

8 publications

NeurIPS 2022 Value Function Decomposition for Iterative Design of Reinforcement Learning Agents James MacGlashan, Evan Archer, Alisa Devlic, Takuma Seno, Craig Sherstan, Peter Wurman, Peter Stone

AAAI 2020 Gamma-Nets: Generalizing Value Estimation over Timescale Craig Sherstan, Shibhansh Dohare, James MacGlashan, Johannes Günther, Patrick M. Pilarski

ICML 2017 Interactive Learning from Policy-Dependent Human Feedback James MacGlashan, Mark K. Ho, Robert Loftin, Bei Peng, Guan Wang, David L. Roberts, Matthew E. Taylor, Michael L. Littman

NeurIPS 2016 Showing Versus Doing: Teaching by Demonstration Mark K Ho, Michael Littman, James MacGlashan, Fiery Cushman, Joseph L Austerweil

IJCAI 2015 Between Imitation and Intention Learning James MacGlashan, Michael L. Littman

IJCAI 2015 Portable Option Discovery for Automated Learning Transfer in Object-Oriented Markov Decision Processes Nicholay Topin, Nicholas Haltmeyer, Shawn Squire, John Winder, Marie desJardins, James MacGlashan

AAAI 2014 A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback Robert Tyler Loftin, James MacGlashan, Bei Peng, Matthew E. Taylor, Michael L. Littman, Jeff Huang, David L. Roberts

AAAI 2010 Hierarchical Skill Learning for High-Level Planning James MacGlashan