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Guiliang Liu
Guiliang Liu
Chinese University of Hongkong, Shenzhen
Verified email at cuhk.edu.cn - Homepage
Title
Cited by
Cited by
Year
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
1362019
Deep reinforcement learning in ice hockey for context-aware player evaluation
G Liu, O Schulte
arXiv preprint arXiv:1805.11088, 2018
922018
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
872020
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
282020
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
212020
Benchmarking constraint inference in inverse reinforcement learning
G Liu, Y Luo, A Gaurav, K Rezaee, P Poupart
arXiv preprint arXiv:2206.09670, 2022
132022
Distributional reinforcement learning with monotonic splines
Y Luo, G Liu, H Duan, O Schulte, P Poupart
International Conference on Learning Representations, 2021
132021
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
122021
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
122020
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
122020
Learning soft constraints from constrained expert demonstrations
A Gaurav, K Rezaee, G Liu, P Poupart
arXiv preprint arXiv:2206.01311, 2022
102022
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
82021
NTS-NOTEARS: Learning nonparametric DBNs with prior knowledge
X Sun, O Schulte, G Liu, P Poupart
arXiv preprint arXiv:2109.04286, 2021
82021
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
82019
Learning object-oriented dynamics for planning from text
G Liu, A Adhikari, A Farahmand, P Poupart
International Conference on Learning Representations, 2021
72021
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
52022
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, 2024
12024
Cracking the Black Box
X Sun, J Davis, O Schulte, G Liu
Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020
12020
PAPER & PRESENTATION
Y Li, Y Zhang, X Zhu, J Wu, G Liu, L Zhang, G Jiang
21st National Academic Congress of Psychology, 2018
12018
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
2024
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