| Deep progressive reinforcement learning for skeleton-based action recognition Y Tang, Y Tian, J Lu, P Li, J Zhou Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 455 | 2018 |
| Online learning in unknown markov games Y Tian, Y Wang, T Yu, S Sra International conference on machine learning, 10279-10288, 2021 | 64* | 2021 |
| Action recognition in rgb-d egocentric videos Y Tang, Y Tian, J Lu, J Feng, J Zhou 2017 IEEE International Conference on Image Processing (ICIP), 3410-3414, 2017 | 49 | 2017 |
| Complexity lower bounds for nonconvex-strongly-concave min-max optimization H Li, Y Tian, J Zhang, A Jadbabaie Advances in Neural Information Processing Systems 34, 1792-1804, 2021 | 31 | 2021 |
| Towards minimax optimal reinforcement learning in factored markov decision processes Y Tian, J Qian, S Sra Advances in Neural Information Processing Systems 33, 19896-19907, 2020 | 25 | 2020 |
| Provably efficient algorithms for multi-objective competitive rl T Yu, Y Tian, J Zhang, S Sra International Conference on Machine Learning, 12167-12176, 2021 | 22 | 2021 |
| Byzantine-robust federated linear bandits A Jadbabaie, H Li, J Qian, Y Tian 2022 IEEE 61st Conference on Decision and Control (CDC), 5206-5213, 2022 | 13 | 2022 |
| Convex and Non-Convex Optimization under Generalized Smoothness H Li, J Qian, Y Tian, A Rakhlin, A Jadbabaie arXiv preprint arXiv:2306.01264, 2023 | 8 | 2023 |
| Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? Y Tian, K Zhang, R Tedrake, S Sra Learning for Dynamics and Control Conference, 51-63, 2023 | 5 | 2023 |
| Toward Understanding State Representation Learning in MuZero: A Case Study in Linear Quadratic Gaussian Control Y Tian, K Zhang, R Tedrake, S Sra 2023 IEEE 62nd Annual Conference on Decision and Control (CDC), 2023 | 1 | 2023 |
| Online Reinforcement Learning in Factored Markov Decision Processes and Unknown Markov Games Y Tian Massachusetts Institute of Technology, 2021 | | 2021 |
| Towards Understanding the Trade-off Between Accuracy and Adversarial Robustness C Deng, Y Tian | | |
