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 | 87 | 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 | 52 | 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 | 49 | 2017 |
Learning Selective Communication for Multi-Agent Path Finding Z Ma, Y Luo, J Pan IEEE Robotics and Automation Letters (RA-L), 2021 | 37 | 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 | 19 | 2020 |
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 | 13 | 2023 |
Distributional Reinforcement Learning with Monotonic Splines Y Luo, G Liu, H Duan, O Schulte, P Poupart 2022 International Conference on Learning Representations (ICLR), 2022 | 13 | 2022 |
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 | 5 | 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 | 1 | 2023 |
A Simple Mixture Policy Parameterization for Improving Sample Efficiency of CVaR Optimization Y Luo, Y Pan, H Wang, P Torr, P Poupart arXiv preprint arXiv:2403.11062, 2024 | | 2024 |
Leveraging Approximate Constraints for Localized Data Error Detection M Zhang, O Schulte, Y Luo Fourth Workshop in Exploiting AI Techniques for Data Management, 36-44, 2021 | | 2021 |