Dissertation
My Dissertation, "Multi-Source Option-Based Policy Transfer," was defended in Janurary 2013 and I received my diploma in May 2013. A copy of my dissertation can be found at this location.
Publications
2016
- N. Gopalan, M. desJardins, M. L. Littman, J. MacGlashan, S. Squire, S. Tellex, J. Winder, and L. L. S. Wong. Planning with Abstract Markov Decision Processes. In ICML workshop on Abstraction in Reinforcement Learning, 2016.
- B. Peng, J. MacGlashan, R. Loftin, M. L. Littman, D. L. Roberts, and M. E. Taylor. A Need for Speed: Adapting Agent Action Speed to Improve Task Learning from Non-Expert Humans. In Proceedings of the 2016 International Conference on Autonomous Agents and Multiagent Systems (AAMAS), May 2016.
- B. Peng, J. MacGlashan, R. Loftin, M. L. Littman, D. L. Roberts, and M. E. Taylor. An Empirical Study of Non-Expert Curriculum Design for Machine Learners. In Proceedings of the Interactive Machine Learning workshop (at IJCAI), New York City, NY, USA, July 2016.
2015
- K. Aluru, S. Tellex, J. Oberlin, and J. MacGlashan, "Minecraft as an experimental world for AI in robotics," In AAAI Fall Symposium, 2015.
- E. Wu, Y. Han, D. Whitney, J. Oberlin, J. MacGlashan, and S. Tellex, “Robotic social feedback for object specification,” in AAAI Fall Symposium, 2015.
- E.D. Hershkowitz, J. MacGlashan, and S. Tellex, "Learning propositional functions for planning and reinforcement learning," In AAAI Spring Symposium, 2015.
- J. MacGlashan, M. Babes-Vroman, M. desJardins, M. Littman, S. Muresan, S. Squire, S. Tellex, D. Arumugam, and L. Yang, "Grounding English commands to reward functions," in Robotics: Science and Systems, 2015.
- J. MacGlashan and M. L. Littman, "Between imitation and intention learning," in Proceedings of the International Joint Conference on Artificial Intelligence, 2015.
- N. Topin, N. Haltmeyer, S. Squire, J. Winder, M. desJardins, and J. MacGlashan, "Portable option discovery for automated learning transfer in object-oriented markov decision processes," in Proceedings of the International Joint Conference on Artificial Intelligence, 2015.
- D. Abel, D. Hershkowitz, G. Barth-Maron, S. Brawner, K. O’Farrell, J. MacGlashan, and S. Tellex, "Goal-based action priors,"" in The International Conference on Automated Planning and Scheduling, 2015.
- R. Loftin, B. Peng, J. MacGlashan, M. L. Littman, M. E. Taylor, J. Huang, and D. L. Roberts, "Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning," Autonomous Agents and Multi-Agent Systems, pp. 1–30, 2015.
2014
- Loftin, R., MacGlashan, J., Peng, B., Taylor, M., Littman, M., Huang, J., Roberts, D., "A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback" in Proceedings of the AAAI Conference, 2014.
- Loftin, R., Peng, B., MacGlashan, J., Littman, M., Taylor, M., Huang, J., Roberts, D., "Learning Something from Nothing: Leveraging Implicit Human Feedback Strategies" in Proceedings of the 23rd IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN '14), 2014.
- MacGlashan, J., Littman, M., Loftin, R., Peng, B., Roberts, D., Taylor, M., "Training an Agent to Ground Commands with Reward and Punishment," in Proceedings of the AAAI Machine Learning for Interactive Systems Workshop, 2014.
- Abel, D., Barth-Maron, G., MacGlashan, J., Tellex, S., "Towards Affordance-aware Planning" in Proceedings of the RSS Affordances in Vision for Cognitive Robotics Workshop, 2014.
- MacGlashan, J., Littman, M., Babes-Vroman, M., Squire, S., desJardins, M., and Muresan, S., "Translating English to Reward Functions," Computer Science Department Brown University Tech. Rep. CS-14-01 2014.
2012
- James MacGlashan, Monica Babes-Vroman, Kevin Winner, Ruoyuan Gao, Richard Adjogah, Marie desJardins, Michael Littman, Smaranda Muresan, "Learning to Interpret Natural Language Instructions" in Proceedings of the AAAI Workshop on Grounding Language for Physical Systems, 2012.
2010
- James MacGlashan, Don Miner, Marie desJardins,"A Game Playing System for Use in Computer Science Education," in Proceedings of the 23rd Florida Artificial Intelligence Research Society Conference, May 2010.
- Marie desJardins, James MacGlashan, and Kiri Wagstaff, "Confidence-Based Feature Acquisition to Minimize Training and Test Costs," in Proceedings of the 2010 SIAM International Conference on Data Mining, April 2010.
2009
- James MacGlashan, Marie desJardins, "Hierarchical Skill Learning for High-level Planning," in Proceedings of the ICML/UAI/COLT Workshop on Abstraction in Reinforcement Learning, Montreal, Canada, 2009.
Other versions appeared in:
- 2009 Doctoral Consortium for the International Conference on Automated Planning and Scheduling
- 2010 Doctoral Consortium for the The AAAI Conference on Artificial Intelligence
2008
- Marie desJardins, James MacGlashan, and Julia Ferraioli, "Interactive visual clustering for relational data," in Constrained Clustering Advances in Algorithms Theory and Applications, Kiri Wagstaff, Sugato Basu, Ian Davidson, Ed., chapter 14, pp. 329-355. Chapman & Hall/CRC Press, Boca Raton, 2008
2007
- Marie desJardins, James MacGlashan, and Julia Ferraioli, "Interactive visual clustering," Proceedings of the 2007 International Conference on Intelligent User Interfaces, January 2007