James MacGlashan
James MacGlashan
Cogitai
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Interactive learning from policy-dependent human feedback
J MacGlashan, MK Ho, R Loftin, B Peng, G Wang, DL Roberts, ME Taylor, ...
International Conference on Machine Learning, 2285-2294, 2017
1172017
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
782016
Reinforcement Learning as a Framework for Ethical Decision Making.
D Abel, J MacGlashan, ML Littman
AAAI Workshop: AI, Ethics, and Society 16, 02, 2016
742016
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
672017
Showing versus doing: Teaching by demonstration
MK Ho, ML Littman, J MacGlashan, F Cushman, JL Austerweil
NeurIPS, 2016
602016
A strategy-aware technique for learning behaviors from discrete human feedback
R Loftin, J MacGlashan, B Peng, M Taylor, M Littman, J Huang, D Roberts
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
602014
Environment-independent task specifications via GLTL
ML Littman, U Topcu, J Fu, C Isbell, M Wen, J MacGlashan
arXiv preprint arXiv:1704.04341, 2017
502017
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
462017
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 International Joint Conference on Autonomous Agents and …, 2016
422016
Goal-based action priors
D Abel, D Hershkowitz, G Barth-Maron, S Brawner, K O'Farrell, ...
Proceedings of the International Conference on Automated Planning and …, 2015
392015
Interactive visual clustering
M Desjardins, J MacGlashan, J Ferraioli
Proceedings of the 12th international conference on Intelligent user …, 2007
392007
Feature-based Joint Planning and Norm Learning in Collaborative Games.
MK Ho, J MacGlashan, A Greenwald, ML Littman, E Hilliard, C Trimbach, ...
CogSci, 2016
372016
Grounding English Commands to Reward Functions.
J MacGlashan, M Babes-Vroman, Marie desJardins, ML Littman, ...
Robotics: Science and Systems, 2015
372015
Between imitation and intention learning
J MacGlashan, ML Littman
Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
292015
Planning with abstract Markov decision processes
N Gopalan, M Littman, J MacGlashan, S Squire, S Tellex, J Winder, ...
Proceedings of the International Conference on Automated Planning and …, 2017
242017
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
232015
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
222014
Minecraft as an experimental world for AI in robotics
KC Aluru, S Tellex, J Oberlin, J MacGlashan
2015 aaai fall symposium series, 2015
212015
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
202014
Brown-UMBC reinforcement learning and planning (BURLAP)
J MacGlashan
172016
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