Welcome to my page @ Rutgers University!
I am currently working on CS Education, but my other interests include Machine Learning and Artificial Intelligence. Check out my latest paper: Exploring Novice Programmers’ Homework Practices: Initial Observations of Information Seeking Behaviors.
Previously, my colleagues and I have published Exploring the Gender Gap at a Large Public R1 Research University.
I earned a Ph.D. in Computer Science from Rutgers in October 2014 with Michael. My thesis was Maximum Likelihood Inverse Reinforcement Learning.
J MacGlashan, M. Babes-Vroman, M. desJardins, M. Littman, S. Muresan, S. Squire, S. Tellex, D. Arumugam, L. Yang, Grounding English Commands to Reward Functions, in Robotics: Science and Systems, 2015.
J. MacGlashan, M. Babes-Vroman, K. Winner, R. Gao, R. Adjogah, M. DesJardins, M. Littman, S. Muresan, Learning to Interpret Natural Language Instructions, Association for the Advancement of Artificial Intelligence (AAAI) Workshop on Grounding Language for Physical Systems, 2012.
M. Babes-Vroman, V. Marivate, K. Subramanian, M. Littman, Apprenticeship Learning about Multiple Intentions, International Conference in Machine Learning (ICML) 2011.
J. Ash, M. Babes-Vroman, G. Cohen, S. Jalal, S. Lichterberg, M. Littman, V. Marivate, P. Quiza, B. Ur, E. Zhang, Scratchable Devices: User-Friendly Programming for Household Appliances, International Conference on Human-Computer Interaction (HCI) 2011.
M. Wunder, M. Babes, M. Littman, Classes of Dynamics of Multiagent Q-learning with e-greedy exploration, International Conference in Machine Learning (ICML) 2010.
M. Babes, M. Wunder, M. Littman, Q-learning in Two-player, Two-action games, (Autonomous Learning Agents Workshop) Autonomous Agent and Multiagent Systems (AAMAS) 2009.
M. Babes, E Munoz de Cote, M. Littman, Social Reward Shaping in Prisoner’s Dilemma, Autonomous Agent and Multiagent Systems (AAMAS) 2008.