James MacGlashan
James MacGlashan
Cogitai
Verified email at cogitai.com
TitleCited byYear
Interactive learning from policy-dependent human feedback
J MacGlashan, MK Ho, R Loftin, B Peng, G Wang, DL Roberts, ME Taylor, ...
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
452017
A strategy-aware technique for learning behaviors from discrete human feedback
RT Loftin, J MacGlashan, B Peng, ME Taylor, ML Littman, J Huang, ...
Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
442014
Learning behaviors via human-delivered discrete feedback: modeling implicit feedback strategies to speed up learning
R Loftin, B Peng, J MacGlashan, ML Littman, ME Taylor, J Huang, ...
Autonomous agents and multi-agent systems 30 (1), 30-59, 2016
422016
Reinforcement learning as a framework for ethical decision making
D Abel, J MacGlashan, ML Littman
Workshops at the Thirtieth AAAI Conference on Artificial Intelligence, 2016
382016
Interactive visual clustering
M Desjardins, J MacGlashan, J Ferraioli
Proceedings of the 12th international conference on Intelligent user …, 2007
332007
A need for speed: Adapting agent action speed to improve task learning from non-expert humans
B Peng, J MacGlashan, R Loftin, ML Littman, DL Roberts, ME Taylor
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
312016
Showing versus doing: Teaching by demonstration
MK Ho, M Littman, J MacGlashan, F Cushman, JL Austerweil
Advances in neural information processing systems, 3027-3035, 2016
292016
Goal-based action priors
D Abel, DE Hershkowitz, G Barth-Maron, S Brawner, K O'Farrell, ...
Twenty-Fifth International Conference on Automated Planning and Scheduling, 2015
282015
Environment-independent task specifications via gltl
ML Littman, U Topcu, J Fu, C Isbell, M Wen, J MacGlashan
arXiv preprint arXiv:1704.04341, 2017
272017
Grounding English Commands to Reward Functions.
J MacGlashan, M Babes-Vroman, Marie desJardins, ML Littman, ...
Robotics: Science and Systems, 2015
222015
Reducing errors in object-fetching interactions through social feedback
D Whitney, E Rosen, J MacGlashan, LLS Wong, S Tellex
2017 IEEE International Conference on Robotics and Automation (ICRA), 1006-1013, 2017
202017
Between imitation and intention learning
J MacGlashan, ML Littman
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
202015
Social is special: A normative framework for teaching with and learning from evaluative feedback
MK Ho, J MacGlashan, ML Littman, F Cushman
Cognition 167, 91-106, 2017
192017
Portable option discovery for automated learning transfer in object-oriented Markov decision processes
N Topin, N Haltmeyer, S Squire, J Winder, J MacGlashan
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
182015
Brown-umbc reinforcement learning and planning (burlap)
J MacGlashan
162015
Minecraft as an experimental world for ai in robotics
KC Aluru, S Tellex, J Oberlin, J MacGlashan
2015 AAAI Fall Symposium Series, 2015
152015
Learning something from nothing: Leveraging implicit human feedback strategies
R Loftin, B Peng, J MacGlashan, ML Littman, ME Taylor, J Huang, ...
The 23rd IEEE International Symposium on Robot and Human Interactive …, 2014
152014
Training an agent to ground commands with reward and punishment
J MacGlashan, M Littman, R Loftin, B Peng, D Roberts, M Taylor
Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014
152014
Marie desJardins, Michael L. Littman, Smaranda Muresan, Shawn Squire, Stefanie Tellex, Dilip Arumugam, and Lei Yang. Grounding english commands to reward functions
J MacGlashan, M Babes-Vroman
Robotics: Science and Systems, 2015
132015
Planning with abstract Markov decision processes
N Gopalan, ML Littman, J MacGlashan, S Squire, S Tellex, J Winder, ...
Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017
122017
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