Robert Loftin
Robert Loftin
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Cited by
Cited by
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
Improving developer participation rates in surveys
E Smith, R Loftin, E Murphy-Hill, C Bird, T Zimmermann
2013 6th International workshop on cooperative and human aspects of software …, 2013
Better exploration with optimistic actor critic
K Ciosek, Q Vuong, R Loftin, K Hofmann
Advances in Neural Information Processing Systems 32, 2019
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, 30-59, 2016
Toward cyber-enhanced working dogs for search and rescue
A Bozkurt, DL Roberts, BL Sherman, R Brugarolas, S Mealin, J Majikes, ...
IEEE Intelligent Systems 29 (6), 32-39, 2014
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
Behavior recognition based on machine learning algorithms for a wireless canine machine interface
R Brugarolas, RT Loftin, P Yang, DL Roberts, B Sherman, A Bozkurt
2013 IEEE international conference on body sensor networks, 1-5, 2013
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
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
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
Curriculum design for machine learners in sequential decision tasks
B Peng, J MacGlashan, R Loftin, ML Littman, DL Roberts, ME Taylor
IEEE Transactions on Emerging Topics in Computational Intelligence 2 (4 …, 2018
An empirical study of non-expert curriculum design for machine learners
B Peng, J MacGlashan, R Loftin, ML Littman, DL Roberts, ME Taylor
Proceedings of the IJCAI Interactive Machine Learning Workshop, 2016
Convergent actor critic by humans
J MacGlashan, ML Littman, DL Roberts, R Loftin, B Peng, ME Taylor
International Conference on Intelligent Robots and Systems, 2016
Novelty seeking multiagent evolutionary reinforcement learning
AA Aydeniz, R Loftin, K Tumer
Proceedings of the Genetic and Evolutionary Computation Conference, 402-410, 2023
Strategically efficient exploration in competitive multi-agent reinforcement learning
R Loftin, A Saha, S Devlin, K Hofmann
Uncertainty in Artificial Intelligence, 1587-1596, 2021
Language and policy learning from human-delivered feedback
B Peng, R Loftin, J MacGlashan, ML Littman, ME Taylor, DL Roberts
Proc. Mach. Learn. Social Robot. Workshop, 2015
On the impossibility of learning to cooperate with adaptive partner strategies in repeated games
R Loftin, FA Oliehoek
International Conference on Machine Learning, 14197-14209, 2022
Entropy Maximization in High Dimensional Multiagent State Spaces
AA Aydeniz, E Marchesini, R Loftin, K Tumer
2023 International Symposium on Multi-Robot and Multi-Agent Systems (MRS), 92-99, 2023
Uncoupled Learning of Differential Stackelberg Equilibria with Commitments
R Loftin, MM Çelikok, H Van Hoof, S Kaski, FA Oliehoek
arXiv preprint arXiv:2302.03438, 2023
Open problems for online Bayesian inference in neural networks
R Loftin, ME Taylor, ML Littman, J MacGlashan, B Peng, DL Roberts
Bayesian Deep Learning Workshop At NeurIPS, 2016
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