| Constrained upper confidence reinforcement learning L Zheng, LJ Ratliff Learning for Dynamics and Control (L4DC), 2020 | 84 | 2020 |
| Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms L Zheng, T Fiez, Z Alumbaugh, B Chasnov, LJ Ratliff AAAI Conference on Artificial Intelligence (AAAI), 2022 | 36 | 2022 |
| Uncertainty in multicommodity routing networks: When does it help? S Sekar, L Zheng, LJ Ratliff, B Zhang IEEE Transactions on Automatic Control 65 (11), 4600-4615, 2019 | 24 | 2019 |
| Safe reinforcement learning of control-affine systems with vertex networks L Zheng, Y Shi, LJ Ratliff, B Zhang Learning for Dynamics and Control, 336-347, 2021 | 19 | 2021 |
| Koopman Operator Applications in Signalized Traffic Systems E Ling, L Zheng, LJ Ratliff, S Coogan IEEE Transactions on Intelligent Transportation Systems, 2020 | 17 | 2020 |
| Towards a socially optimal multi-modal routing platform C Samal, L Zheng, F Sun, LJ Ratliff, A Dubey arXiv preprint arXiv:1802.10140, 2018 | 10 | 2018 |
| Heterogeneous Graph Neural Networks with Neighbor-SIM Attention Mechanism for Substitute Product Recommendation L Zheng, Z Zuo, W Wang, C Dong, M Momma, Y Sun AAAI Deep Learning on Graphs: Methodologies and Applications Workshop, 2021 | 8 | 2021 |
| Stackelberg Actor-Critic: A Game-Theoretic Perspective L Zheng, T Fiez, Z Alumbaugh, B Chasnov, LJ Ratliff AAAI Reinforcement Learning in Games Workshop, 2021 | 7 | 2021 |
| Stackelberg MADDPG: Learning Emergent Behaviors via Information Asymmetry in Competitive Games B Yang, L Zheng, LJ Ratliff, B Boots, JR Smith AAAI Reinforcement Learning in Games Workshop, 2022 | 5 | 2022 |
| Constrained Upper Confidence Reinforcement Learning with Known Dynamics L Zheng, L Ratliff | 3 | 2020 |
| Stackelberg Games for Learning Emergent Behaviors During Competitive Autocurricula B Yang, L Zheng, LJ Ratliff, B Boots, JR Smith IEEE International Conference on Robotics and Automation (ICRA), 2023 | 2 | 2023 |
| Incentives in the dark: multi-armed bandits for evolving users with unknown type LJ Ratliff, S Sekar, L Zheng, T Fiez arXiv preprint arXiv:1803.04008 55, 2018 | 2 | 2018 |
| Combinatorial bandits for incentivizing agents with dynamic preferences T Fiez, S Sekar, L Zheng, LJ Ratliff Conference on Uncertainty in Artificial Intelligence (UAI), 2018 | 1 | 2018 |
| Certifiable Algorithms for Reinforcement Learning: Safety-Critical and Game-Theoretic Perspectives L Zheng University of Washington, 2021 | | 2021 |
