| Toward interpretable deep reinforcement learning with linear model u-trees G Liu, O Schulte, W Zhu, Q Li Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019 | 155 | 2019 |
| 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 | 108 | 2020 |
| Deep reinforcement learning in ice hockey for context-aware player evaluation G Liu, O Schulte arXiv preprint arXiv:1805.11088, 2018 | 106 | 2018 |
| Extracting knowledge from web text with monte carlo tree search G Liu, X Li, J Wang, M Sun, P Li Proceedings of The Web Conference 2020, 2585-2591, 2020 | 32 | 2020 |
| Cracking the black box: Distilling deep sports analytics X Sun, J Davis, O Schulte, G Liu Proceedings of the 26th acm sigkdd international conference on knowledge …, 2020 | 26 | 2020 |
| Benchmarking constraint inference in inverse reinforcement learning G Liu, Y Luo, A Gaurav, K Rezaee, P Poupart arXiv preprint arXiv:2206.09670, 2022 | 17 | 2022 |
| Distributional reinforcement learning with monotonic splines Y Luo, G Liu, H Duan, O Schulte, P Poupart International Conference on Learning Representations, 2021 | 17 | 2021 |
| Learning soft constraints from constrained expert demonstrations A Gaurav, K Rezaee, G Liu, P Poupart arXiv preprint arXiv:2206.01311, 2022 | 15 | 2022 |
| Learning tree interpretation from object representation for deep reinforcement learning G Liu, X Sun, O Schulte, P Poupart Advances in Neural Information Processing Systems 34, 19622-19636, 2021 | 15 | 2021 |
| Learning agent representations for ice hockey G Liu, O Schulte, P Poupart, M Rudd, M Javan Advances in Neural Information Processing Systems 33, 18704-18715, 2020 | 14 | 2020 |
| Nts-notears: Learning nonparametric dbns with prior knowledge X Sun, O Schulte, G Liu, P Poupart arXiv preprint arXiv:2109.04286, 2021 | 13 | 2021 |
| An advantage actor-critic algorithm with confidence exploration for open information extraction G Liu, X Li, M Sun, P Li Proceedings of the 2020 SIAM International Conference on Data Mining, 217-225, 2020 | 13 | 2020 |
| Unimodal training-multimodal prediction: Cross-modal federated learning with hierarchical aggregation R Zhang, X Chi, G Liu, W Zhang, Y Du, F Wang arXiv preprint arXiv:2303.15486, 2023 | 11 | 2023 |
| Uncertainty-aware reinforcement learning for risk-sensitive player evaluation in sports game G Liu, Y Luo, O Schulte, P Poupart Advances in Neural Information Processing Systems 35, 20218-20231, 2022 | 11 | 2022 |
| Nts-notears: Learning nonparametric temporal dags with time-series data and prior knowledge X Sun, G Liu, P Poupart, O Schulte arXiv preprint arXiv:2109.04286, 2021 | 9 | 2021 |
| An alternative to variance: Gini deviation for risk-averse policy gradient Y Luo, G Liu, P Poupart, Y Pan Advances in Neural Information Processing Systems 36, 60922-60946, 2023 | 8 | 2023 |
| Interpreting deep sports analytics: Valuing actions and players in the NHL G Liu, W Zhu, O Schulte Machine Learning and Data Mining for Sports Analytics: 5th International …, 2019 | 8 | 2019 |
| Multi-modal inverse constrained reinforcement learning from a mixture of demonstrations G Qiao, G Liu, P Poupart, Z Xu Advances in Neural Information Processing Systems 36, 2024 | 7 | 2024 |
| Learning object-oriented dynamics for planning from text G Liu, A Adhikari, A Farahmand, P Poupart International Conference on Learning Representations, 2021 | 7 | 2021 |
| Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning S Xu, G Liu The Twelfth International Conference on Learning Representations, 2023 | 4 | 2023 |
Pascal PoupartUniversity of Waterloo在 uwaterloo.ca 的电子邮件经过验证
