| Deep soccer analytics: learning an action-value function for evaluating soccer players G Liu, Y Luo, O Schulte, T Kharrat Data Mining and Knowledge Discovery 34, 1531-1559, 2020 | 107 | 2020 |
| Distributed Heuristic Multi-Agent Path Finding with Communication Z Ma*, Y Luo*, H Ma 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021 | 73 | 2021 |
| EEG-based Emotion Recognition Using Domain Adaptation Network YM Jin, YD Luo, WL Zheng, BL Lu 2017 international conference on orange technologies (ICOT), 222-225, 2017 | 56 | 2017 |
| Learning Selective Communication for Multi-Agent Path Finding Z Ma*, Y Luo*, J Pan IEEE Robotics and Automation Letters (RA-L), 2021 | 53 | 2021 |
| Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players Y Luo, O Schulte, P Poupart 2020 International Joint Conference on Artificial Intelligence (IJCAI), 2020 | 22 | 2020 |
| Distributional Reinforcement Learning with Monotonic Splines Y Luo, G Liu, H Duan, O Schulte, P Poupart 2022 International Conference on Learning Representations (ICLR), 2022 | 17 | 2022 |
| Benchmarking Constraint Inference in Inverse Reinforcement Learning G Liu, Y Luo, A Gaurav, K Rezaee, P Poupart 2023 International Conference on Learning Representations (ICLR), 2023 | 16 | 2023 |
| Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game G Liu, Y Luo, O Schulte, P Poupart 2022 Advances in Neural Information Processing Systems (NeurIPS), 2022 | 11 | 2022 |
| An Alternative to Variance: Gini Deviation for Risk-averse Policy Gradient Y Luo, G Liu, P Poupart, Y Pan 2023 Advances in Neural Information Processing Systems (NeurIPS), 2023 | 8 | 2023 |
| A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization Y Luo, Y Pan, H Wang, P Torr, P Poupart 2024 Reinforcement Learning Conference (RLC), 2024 | 1 | 2024 |
| Leveraging Approximate Constraints for Localized Data Error Detection M Zhang, O Schulte, Y Luo Proceedings of the Fourth International Workshop on Exploiting Artificial …, 2021 | 1 | 2021 |
| Policy Learning under Uncertainty and Risk Y Luo University of Waterloo, 2024 | | 2024 |
| Benchmarking Large Neighborhood Search for Multi-Agent Path Finding J Tan, Y Luo, J Li, H Ma arXiv preprint arXiv:2407.09451, 2024 | | 2024 |
| Risk, Reward, and Reinforcement Learning in Ice Hockey Analytics S Xu, O Schulte, Y Luo, P Poupart, G Liu | | 2024 |
| Risiko, Belohnung und Verstärkungslernen in der Eishockey-Analytik S Xu, O Schulte, Y Luo, P Poupart, G Liu | | 2024 |
Guiliang LiuChinese University of Hongkong, Shenzhen在 cuhk.edu.cn 的电子邮件经过验证
