| A dual approach to constrained markov decision processes with entropy regularization D Ying, Y Ding, J Lavaei International Conference on Artificial Intelligence and Statistics, 1887-1909, 2022 | 30 | 2022 |
| Policy-based Primal-Dual Methods for Convex Constrained Markov Decision Processes D Ying, M Guo, Y Ding, ZJ Shen, J Lavaei AAAI Conference on Artificial Intelligence (AAAI 2023), 2022 | 7 | 2022 |
| Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities D Ying, Y Zhang, Y Ding, A Koppel, J Lavaei 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 3 | 2023 |
| No-regret learning in dynamic competition with reference effects under logit demand MA Guo, D Ying, J Lavaei, ZJM Shen 37th Annual Conference on Neural Information Processing Systems (NeurIPS 2023), 2023 | 2 | 2023 |
| Last-iterate Convergence in No-regret Learning: Games with Reference Effects Under Logit Demand MA Guo, D Ying, J Lavaei, ZJM Shen Available at SSRN 4597658, 2023 | 1 | 2023 |
| A hitting time analysis for stochastic time-varying functions with applications to adversarial attacks on computation of Markov decision processes A Yekkehkhany, H Feng, D Ying, J Lavaei IEEE Transactions on Automatic Control, 2023 | 1 | 2023 |
| Scalable Multi-Agent Reinforcement Learning with General Utilities D Ying, Y Ding, A Koppel, J Lavaei American Control Conference (ACC 2023), 2023 | 1 | 2023 |
| VMR2L: Virtual Machines Rescheduling Using Reinforcement Learning in Data Centers X Ding, Y Zhang, B Chen, D Ying, T Zhang, J Chen, L Zhang, A Cerpa, ... | | 2023 |
| Almost Envy-free Allocations of Unweighted Items XS Zhijie Zhang, Donghao Ying, Jialin Zhang SCIENTIA SINICA Informationis (2022) 52 (6), 935-946, 2022 | | 2022 |
