Corruption-robust offline reinforcement learning X Zhang, Y Chen, X Zhu, W Sun International Conference on Artificial Intelligence and Statistics, 5757-5773, 2022 | 64 | 2022 |
Robust policy gradient against strong data corruption X Zhang, Y Chen, X Zhu, W Sun International Conference on Machine Learning, 12391-12401, 2021 | 40 | 2021 |
Byzantine-robust online and offline distributed reinforcement learning Y Chen, X Zhang, K Zhang, M Wang, X Zhu International Conference on Artificial Intelligence and Statistics, 3230-3269, 2023 | 21 | 2023 |
Optimal attack against autoregressive models by manipulating the environment Y Chen, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3545-3552, 2020 | 20* | 2020 |
Error lower bounds of constant step-size stochastic gradient descent Z Ding, Y Chen, Q Li, X Zhu arXiv preprint arXiv:1910.08212, 2019 | 5 | 2019 |
Mechanism design for collaborative normal mean estimation Y Chen, J Zhu, K Kandasamy Advances in Neural Information Processing Systems 36, 2024 | 3 | 2024 |
Diffusing States and Matching Scores: A New Framework for Imitation Learning R Wu, Y Chen, G Swamy, K Brantley, W Sun arXiv preprint arXiv:2410.13855, 2024 | 1 | 2024 |
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption Y Chen, X Zhang, Q Xie, X Zhu Proceedings of the AAAI Conference on Artificial Intelligence 38 (10), 11416 …, 2024 | 1 | 2024 |
The Game of Hidden Rules: A New Kind of Benchmark Challenge for Machine Learning E Pulick, S Bharti, Y Chen, V Menkov, Y Mintz, P Kantor, VM Bier arXiv preprint arXiv:2207.10218, 2022 | 1 | 2022 |
Data Sharing for Mean Estimation Among Heterogeneous Strategic Agents A Clinton, Y Chen, X Zhu, K Kandasamy arXiv preprint arXiv:2407.15881, 2024 | | 2024 |
Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value Y Wu, J McMahan, Y Chen, Y Chen, X Zhu, Q Xie arXiv preprint arXiv:2311.00582, 2023 | | 2023 |