| 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 | 369 | 2017 |
| Better exploration with optimistic actor critic K Ciosek, Q Vuong, R Loftin, K Hofmann Advances in Neural Information Processing Systems 32, 2019 | 191 | 2019 |
| 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 | 166 | 2013 |
| 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 | 133 | 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 | 98 | 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 | 82 | 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 | 71 | 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 | 61 | 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 | 36 | 2014 |
| Training an agent to ground commands with reward and punishment J MacGlashan, M Littman, R Loftin, B Peng, D Roberts, ME Taylor Proceedings of the AAAI Machine Learning for Interactive Systems Workshop, 6-12, 2014 | 24 | 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 | 21 | 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 | 15 | 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 | 14 | 2016 |
| Novelty seeking multiagent evolutionary reinforcement learning AA Aydeniz, R Loftin, K Tumer Proceedings of the Genetic and Evolutionary Computation Conference, 402-410, 2023 | 8 | 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 | 5 | 2021 |
| 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 | 4 | 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 | 3 | 2023 |
| 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 | 3 | 2015 |
| 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 | 1 | 2023 |
| Multi-objective Deep Reinforcement Learning for predictive maintenance of road networks K Krachtopoulos, F Oliehoek, C Andriotis, R Loftin Master’s thesis, Technical University of Delft. http://resolver. tudelft. nl …, 2023 | 1 | 2023 |
David L. RobertsAssociate Professor, Assistant Director Undergraduate Programs, Interim Director Digital Gamesยืนยันอีเมลแล้วที่ csc.ncsu.edu