| ElegantRL-Podracer: Scalable and elastic library for cloud-native deep reinforcement learning XY Liu, Z Li, Z Yang, J Zheng, Z Wang, A Walid, J Guo, MI Jordan arXiv preprint arXiv:2112.05923, 2021 | 30* | 2021 |
| FinRL-Podracer: High performance and scalable deep reinforcement learning for quantitative finance Z Li, XY Liu, J Zheng, Z Wang, A Walid, J Guo Proceedings of the Second ACM International Conference on AI in Finance, 1-9, 2021 | 19 | 2021 |
| High-performance Tensor Decompositions for Compressing and Accelerating Deep Neural Networks XY Liu, Y Fang, L Yang, Z Li, A Walid Tensors for Data Processing, 293-340, 2022 | 8 | 2022 |
| Stationary Deep Reinforcement Learning with Quantum K-spin Hamiltonian Regularization XY Liu, Z Li, S Wu, X Wang ICLR 2023 Workshop on Physics for Machine Learning, 2023 | 3 | 2023 |
| Social Learning In Markov Games: Empowering Autonomous Driving X Chen, Z Li, X Di 2022 IEEE Intelligent Vehicles Symposium (IV), 478-483, 2022 | 3 | 2022 |
| Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation M Torne, A Simeonov, Z Li, A Chan, T Chen, A Gupta, P Agrawal arXiv preprint arXiv:2403.03949, 2024 | 2 | 2024 |
| Parallel -Learning: Scaling Off-policy Reinforcement Learning under Massively Parallel Simulation Z Li, T Chen, ZW Hong, A Ajay, P Agrawal International Conference on Machine Learning, 19440-19459, 2023 | 2 | 2023 |
| Homomorphic Matrix Completion XY Liu, ZS Li, X Wang Advances in Neural Information Processing Systems 35, 12197-12210, 2022 | 2 | 2022 |
| Learning Multimodal Behaviors from Scratch with Diffusion Policy Gradient Z Li, R Krohn, T Chen, A Ajay, P Agrawal, G Chalvatzaki arXiv preprint arXiv:2406.00681, 2024 | | 2024 |
| Social Learning for Sequential Driving Dilemmas X Chen, X Di, Z Li Games 14 (3), 41, 2023 | | 2023 |
Xiao-Yang LiuColumbia University在 columbia.edu 的电子邮件经过验证
