| Unity: A general platform for intelligent agents A Juliani, VP Berges, E Teng, A Cohen, J Harper, C Elion, C Goy, Y Gao, ... arXiv preprint arXiv:1809.02627, 2018 | 501 | 2018 |
| Diverse exploration for fast and safe policy improvement A Cohen, L Yu, R Wright Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 14 | 2018 |
| Framework and methods of diverse exploration for fast and safe policy improvement L Yu, A Cohen US Patent App. 16/256,529, 2019 | 8 | 2019 |
| Diverse exploration via conjugate policies for policy gradient methods A Cohen, X Qiao, L Yu, E Way, X Tong Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 3404-3411, 2019 | 8 | 2019 |
| On the Use and Misuse of Absorbing States in Multi-agent Reinforcement Learning A Cohen, E Teng, VP Berges, RP Dong, H Henry, M Mattar, A Zook, ... arXiv preprint arXiv:2111.05992, 2021 | 2 | 2021 |
| Maximum entropy diverse exploration: Disentangling maximum entropy reinforcement learning A Cohen, L Yu, X Qiao, X Tong arXiv preprint arXiv:1911.00828, 2019 | 2 | 2019 |
| Diverse experience learning A Cohen State University of New York at Binghamton, 2016 | 1 | 2016 |
| Transfer RL across Observation Feature Spaces via Model-Based Regularization Y Sun, R Zheng, X Wang, A Cohen, F Huang arXiv preprint arXiv:2201.00248, 2022 | | 2022 |
| Generating Multi-type Temporal Sequences to Mitigate Class-Imbalanced Problem L Jiang, NS Sadghiani, Z Tao, A Cohen Joint European Conference on Machine Learning and Knowledge Discovery in …, 2021 | | 2021 |
| Diverse Exploration in Reinforcement Learning A Cohen State University of New York at Binghamton, 2019 | | 2019 |
