| Selective experience replay for lifelong learning D Isele, A Cosgun Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 523 | 2018 |
| Navigating occluded intersections with autonomous vehicles using deep reinforcement learning D Isele, R Rahimi, A Cosgun, K Subramanian, K Fujimura 2018 IEEE international conference on robotics and automation (ICRA), 2034-2039, 2018 | 490 | 2018 |
| Cm3: Cooperative multi-goal multi-stage multi-agent reinforcement learning J Yang, A Nakhaei, D Isele, K Fujimura, H Zha arXiv preprint arXiv:1809.05188, 2018 | 114 | 2018 |
| Using task features for zero-shot knowledge transfer in lifelong learning. D Isele, M Rostami, E Eaton Ijcai 16, 1620-1626, 2016 | 110 | 2016 |
| Safe reinforcement learning on autonomous vehicles D Isele, A Nakhaei, K Fujimura 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 91 | 2018 |
| Reinforcement learning for autonomous driving with latent state inference and spatial-temporal relationships X Ma, J Li, MJ Kochenderfer, D Isele, K Fujimura 2021 IEEE International Conference on Robotics and Automation (ICRA), 6064-6071, 2021 | 74 | 2021 |
| Interactive decision making for autonomous vehicles in dense traffic D Isele 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3981-3986, 2019 | 66 | 2019 |
| Reinforcement learning with iterative reasoning for merging in dense traffic M Bouton, A Nakhaei, D Isele, K Fujimura, MJ Kochenderfer 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 46 | 2020 |
| Using task descriptions in lifelong machine learning for improved performance and zero-shot transfer M Rostami, D Isele, E Eaton Journal of Artificial Intelligence Research 67, 673-704, 2020 | 40 | 2020 |
| Uncertainty-aware data aggregation for deep imitation learning Y Cui, D Isele, S Niekum, K Fujimura 2019 International Conference on Robotics and Automation (ICRA), 761-767, 2019 | 38 | 2019 |
| Anytime game-theoretic planning with active reasoning about humans’ latent states for human-centered robots R Tian, L Sun, M Tomizuka, D Isele 2021 IEEE International Conference on Robotics and Automation (ICRA), 4509-4515, 2021 | 32 | 2021 |
| Uncertainty prediction based deep learning Y Cui, DF Isele, K Fujimura US Patent 11,479,243, 2022 | 28 | 2022 |
| Reinforcement learning on autonomous vehicles D Isele, AN Sarvedani, K Fujimura US Patent 10,990,096, 2021 | 28 | 2021 |
| Spatiotemporal costmap inference for MPC via deep inverse reinforcement learning K Lee, D Isele, EA Theodorou, S Bae IEEE Robotics and Automation Letters 7 (2), 3194-3201, 2022 | 27 | 2022 |
| Transferring autonomous driving knowledge on simulated and real intersections D Isele, A Cosgun arXiv preprint arXiv:1712.01106, 2017 | 26 | 2017 |
| Safe reinforcement learning on autonomous vehicles. In 2018 IEEE D Isele, A Nakhaei, K Fujimura RSJ International Conference on Intelligent Robots and Systems (IROS), 1-6, 0 | 26 | |
| Lane-change in dense traffic with model predictive control and neural networks S Bae, D Isele, A Nakhaei, P Xu, AM Añon, C Choi, K Fujimura, S Moura IEEE Transactions on Control Systems Technology 31 (2), 646-659, 2022 | 25 | 2022 |
| Interaction-aware multi-agent reinforcement learning for mobile agents with individual goals A Mohseni-Kabir, D Isele, K Fujimura 2019 International Conference on Robotics and Automation (ICRA), 3370-3376, 2019 | 21 | 2019 |
| Active uncertainty reduction for safe and efficient interaction planning: A shielding-aware dual control approach H Hu, D Isele, S Bae, JF Fisac The International Journal of Robotics Research 43 (9), 1382-1408, 2024 | 20 | 2024 |
| Interaction-aware trajectory planning for autonomous vehicles with analytic integration of neural networks into model predictive control P Gupta, D Isele, D Lee, S Bae 2023 IEEE International Conference on Robotics and Automation (ICRA), 7794-7800, 2023 | 20 | 2023 |
