| SDRL: interpretable and data-efficient deep reinforcement learning leveraging symbolic planning D Lyu, F Yang, B Liu, S Gustafson Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2970-2977, 2019 | 226 | 2019 |
| Peorl: Integrating symbolic planning and hierarchical reinforcement learning for robust decision-making F Yang, D Lyu, B Liu, S Gustafson Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 183 | 2018 |
| A block coordinate ascent algorithm for mean-variance optimization B Liu, T Xie, Y Xu, M Ghavamzadeh, Y Chow, D Lyu, D Yoon 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), 2018 | 50 | 2018 |
| TDM: Trustworthy Decision-Making Via Interpretability Enhancement D Lyu, F Yang, H Kwon, W Dong, L Yilmaz, B Liu IEEE Transactions on Emerging Topics in Computational Intelligence, 1 - 12, 2021 | 28 | 2021 |
| Design and implementation of clinical data integration and management system based on Hadoop platform DM Lyu, Y Tian, Y Wang, DY Tong, WW Yin, JS Li 2015 7th International Conference on Information Technology in Medicine and …, 2015 | 20 | 2015 |
| Stable and efficient policy evaluation D Lyu, B Liu, M Geist, W Dong, S Biaz, Q Wang IEEE transactions on neural networks and learning systems 30 (6), 1831-1840, 2018 | 12 | 2018 |
| Language model and its interpretability in biomedicine: A scoping review D Lyu, X Wang, Y Chen, F Wang Iscience 27 (4), 2024 | 11 | 2024 |
| Accuracy and transportability of machine learning models for adolescent suicide prediction with longitudinal clinical records C Zang, Y Hou, D Lyu, J Jin, S Sacco, K Chen, R Aseltine, F Wang Translational psychiatry 14 (1), 316, 2024 | 10 | 2024 |
| Knowledge-based sequential decision-making under uncertainty D Lyu arXiv preprint arXiv:1905.07030, 2019 | 8 | 2019 |
| Variance-reduced off-policy memory-efficient policy search D Lyu, Q Qi, M Ghavamzadeh, H Yao, T Yang, B Liu arXiv preprint arXiv:2009.06548, 2020 | 7 | 2020 |
| Program search for machine learning pipelines leveraging symbolic planning and reinforcement learning F Yang, S Gustafson, A Elkholy, D Lyu, B Liu Genetic Programming Theory and Practice XVI, 209-231, 2019 | 7 | 2019 |
| A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming D Lyu, F Yang, B Liu, S Gustafson Proceedings 35th International Conference on Logic Programming, 2019 | 5 | 2019 |
| Logic-based sequential decision-making D Lyu, F Yang, B Liu, D Yoon Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 9995-9996, 2019 | 2 | 2019 |
| PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent D Lyu, B Liu, J Chen arXiv preprint arXiv:2202.00531, 2022 | 1 | 2022 |
| Towards Trustworthy Decision-Making in Human-Machine Symbiosis D Lyu Auburn University, 2022 | 1 | 2022 |
| Explainable neuro-symbolic hierarchical reinforcement learning D Lyu, F Yang, H Kwon, B Liu, W Dong, L Yilmaz Neuro-Symbolic Artificial Intelligence: The State of the Art, 235-252, 2021 | 1 | 2021 |
| TOPS: Transition-Based Volatility-Reduced Policy Search L Xu, D Lyu, Y Pan, A Jiang, B Liu International Conference on Autonomous Agents and Multiagent Systems, 3-47, 2022 | | 2022 |
| STOPS: Short-Term-based Volatility-controlled Policy Search and its Global Convergence L Xu, D Lyu, Y Pan, A Jiang, B Liu arXiv preprint arXiv:2201.09857, 2022 | | 2022 |
| Appendix to STOPS: Short-term Volatility-controlled Policy Search and its Global Convergence L Xu, D Lyu, Y Pan, A Jiang, B Liu arXiv preprint arXiv:2201.09857, 2022 | | 2022 |
| A Joint Planning and Learning Framework for Human-Aided Decision-Making D Lyu, F Yang, B Liu, S Gustafson arXiv preprint arXiv:1906.07268, 2019 | | 2019 |
Bo LiuUniversity of Arizona, AAAI SM, IEEE SMVerified email at cs.umass.edu
