| Spatio-temporal graph dual-attention network for multi-agent prediction and tracking J Li, H Ma, Z Zhang, J Li, M Tomizuka IEEE Transactions on Intelligent Transportation Systems 23 (8), 10556-10569, 2021 | 91 | 2021 |
| Hierarchical planning through goal-conditioned offline reinforcement learning J Li, C Tang, M Tomizuka, W Zhan IEEE Robotics and Automation Letters 7 (4), 10216-10223, 2022 | 62 | 2022 |
| A safe hierarchical planning framework for complex driving scenarios based on reinforcement learning J Li, L Sun, J Chen, M Tomizuka, W Zhan 2021 IEEE International Conference on Robotics and Automation (ICRA), 2660-2666, 2021 | 45 | 2021 |
| Dealing with the unknown: Pessimistic offline reinforcement learning J Li, C Tang, M Tomizuka, W Zhan Conference on Robot Learning, 1455-1464, 2022 | 26 | 2022 |
| Interaction-aware behavior planning for autonomous vehicles validated with real traffic data J Li, L Sun, W Zhan, M Tomizuka Dynamic Systems and Control Conference 84287, V002T31A005, 2020 | 17 | 2020 |
| Guided online distillation: Promoting safe reinforcement learning by offline demonstration J Li, X Liu, B Zhu, J Jiao, M Tomizuka, C Tang, W Zhan 2024 IEEE International Conference on Robotics and Automation (ICRA), 7447-7454, 2024 | 8 | 2024 |
| A novel integrated SVM for fault diagnosis using KPCA and GA LI Jinning Journal of Physics: Conference Series 1207 (1), 012002, 2019 | 6 | 2019 |
| Adaptive prediction ensemble: Improving out-of-distribution generalization of motion forecasting J Li, J Li, S Bae, D Isele IEEE Robotics and Automation Letters, 2024 | 3 | 2024 |
| Quantifying Agent Interaction in Multi-agent Reinforcement Learning for Cost-efficient Generalization Y Chen, C Tang, R Tian, C Li, J Li, M Tomizuka, W Zhan arXiv preprint arXiv:2310.07218, 2023 | 2 | 2023 |
| Hierarchical Planning Through Goal-Conditioned Offline Reinforcement Learning M Huang, W Zhan, M Tomizuka, C Tang, LI Jinning US Patent App. 18/439,222, 2024 | | 2024 |
| Pessimistic offline reinforcement learning system and method M Huang, LI Jinning, C Tang, M Tomizuka, W Zhan US Patent App. 17/969,129, 2024 | | 2024 |
| Safe and Trustworthy Decision Making through Reinforcement Learning J Li University of California, Berkeley, 2024 | | 2024 |
Masayoshi TomizukaMechaniccal Engineering, University of CaliforniaPotvrđena adresa e-pošte na me.berkeley.edu