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David Isele
David Isele
Honda Research Institute, University of Pennsylvania
Verified email at HONDA-RI.COM
Title
Cited by
Cited by
Year
Selective experience replay for lifelong learning
D Isele, A Cosgun
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
5072018
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
4862018
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
1132018
Using Task Features for Zero-Shot Knowledge Transfer in Lifelong Learning.
D Isele, M Rostami, E Eaton
Ijcai 16, 1620-1626, 2016
1072016
Safe reinforcement learning on autonomous vehicles
D Isele, A Nakhaei, K Fujimura
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
862018
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
702021
Interactive decision making for autonomous vehicles in dense traffic
D Isele
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3981-3986, 2019
642019
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
462020
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
372020
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
362019
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
302021
Reinforcement learning on autonomous vehicles
D Isele, AN Sarvedani, K Fujimura
US Patent 10,990,096, 2021
282021
Uncertainty prediction based deep learning
Y Cui, DF Isele, K Fujimura
US Patent 11,479,243, 2022
262022
Transferring autonomous driving knowledge on simulated and real intersections
D Isele, A Cosgun
arXiv preprint arXiv:1712.01106, 2017
262017
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
252022
Lane-change in dense traffic with model predictive control and neural networks
S Bae, D Isele, A Nakhaei, P Xu, AM Anon, C Choi, K Fujimura, S Moura
IEEE Transactions on Control Systems Technology 31 (2), 646-659, 2022
232022
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
23
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
202019
Autonomous vehicle interactive decision making
DF Isele
US Patent 11,242,054, 2022
192022
Vertex reconstruction of neutrino interactions using deep learning
AM Terwilliger, GN Perdue, D Isele, RM Patton, SR Young
2017 International Joint Conference on Neural Networks (IJCNN), 2275-2281, 2017
182017
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