| Comparison of deep reinforcement learning and model predictive control for adaptive cruise control Y Lin, J McPhee, NL Azad IEEE Transactions on Intelligent Vehicles 6 (2), 221-231, 2020 | 169 | 2020 |
| Cooperative adaptive cruise control with adaptive Kalman filter subject to temporary communication loss C Wu, Y Lin, A Eskandarian IEEE Access 7, 93558-93568, 2019 | 57 | 2019 |
| Anti-jerk on-ramp merging using deep reinforcement learning Y Lin, J McPhee, NL Azad 2020 IEEE Intelligent Vehicles Symposium (IV), 7-14, 2020 | 50 | 2020 |
| Longitudinal dynamic versus kinematic models for car-following control using deep reinforcement learning Y Lin, J McPhee, NL Azad 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1504-1510, 2019 | 37 | 2019 |
| Collective behavior and predation success in a predator-prey model inspired by hunting bats Y Lin, N Abaid Physical Review E 88 (6), 062724, 2013 | 19 | 2013 |
| Modeling perspectives on echolocation strategies inspired by bats flying in groups Y Lin, N Abaid Journal of theoretical biology 387, 46-53, 2015 | 16 | 2015 |
| Experimental evaluation of cooperative adaptive cruise control with autonomous mobile robots Y Lin, A Eskandarian 2017 IEEE Conference on Control Technology and Applications (CCTA), 281-286, 2017 | 15 | 2017 |
| Bats adjust their pulse emission rates with swarm size in the field Y Lin, N Abaid, R Müller The Journal of the Acoustical Society of America 140 (6), 4318-4325, 2016 | 12 | 2016 |
| Co-optimization of on-ramp merging and plug-in hybrid electric vehicle power split using deep reinforcement learning Y Lin, J McPhee, NL Azad IEEE Transactions on Vehicular Technology 71 (7), 6958-6968, 2022 | 11 | 2022 |
| Integrating odometry and inter-vehicular communication for adaptive cruise control with target detection loss Y Lin, C Wu, A Eskandarian 2018 IEEE Intelligent Vehicles Symposium (IV), 1848-1853, 2018 | 10 | 2018 |
| Sub-pixel displacement measurement in digital image correlation using particle swarm optimization Y Lin, Z Lan 2010 International Conference on Information, Networking and Automation …, 2010 | 10 | 2010 |
| Experimental evaluation of different controllers for cooperative adaptive cruise control Y Lin, A Eskandarian Dynamic Systems and Control Conference 58271, V001T44A006, 2017 | 6 | 2017 |
| Discretionary Lane-Change Decision and Control via Parameterized Soft Actor–Critic for Hybrid Action Space Y Lin, X Liu, Z Zheng Machines 12 (4), 213, 2024 | 2 | 2024 |
| Bat swarming as an inspiration for multi-agent systems: predation success, active sensing, and collision avoidance Y Lin Virginia Tech, 2016 | 2 | 2016 |
| Energy Management for Hybrid Electric Vehicles Using Safe Hybrid-Action Reinforcement Learning J Xu, Y Lin Mathematics 12 (5), 663, 2024 | 1 | 2024 |
| Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Vehicle Energy Management J Xu, Y Lin arXiv preprint arXiv:2305.01461, 2023 | 1 | 2023 |
| Trajectory Planning for Multi-rotor UAV Based on Energy Cost Model K Wu, M Feng, C Wu, Y Lin, S Lu 2022 41st Chinese Control Conference (CCC), 1-6, 2022 | 1 | 2022 |
| Integrating inter-vehicular communication, vehicle localization, and a digital map for cooperative adaptive cruise control with target detection loss Y Lin, A Eskandarian arXiv preprint arXiv:1901.02989, 2019 | 1 | 2019 |
| Information sharing via active sensing in a multi-agent system inspired by echolocating bats Y Lin, N Abaid Dynamic Systems and Control Conference 46186, V001T05A002, 2014 | 1 | 2014 |
| Bats versus bugs: Collective behavior of prey decreases predation in a biologically-inspired multi-agent system Y Lin, N Abaid Dynamic Systems and Control Conference 56123, V001T07A002, 2013 | 1 | 2013 |
Nasser Lashgarian AzadAssociate Professor, University of WaterlooVerified email at uwaterloo.ca
