Daoming Lyu
Daoming Lyu
Postdoc, Weill Cornell Medicine, Cornell University
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Cited by
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
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
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
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
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
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
Knowledge-based sequential decision-making under uncertainty
D Lyu
arXiv preprint arXiv:1905.07030, 2019
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
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
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
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
TOPS: Transition-Based Volatility-Reduced Policy Search
L Xu, D Lyu, Y Pan, A Jiang, B Liu
Autonomous Agents and Multiagent Systems. Best and Visionary Papers: AAMAS …, 2022
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent
D Lyu, B Liu, J Chen
arXiv preprint arXiv:2202.00531, 2022
TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence
L Xu, A Jiang, D Lyu, B Liu
arXiv preprint arXiv:2201.09857, 2022
Towards Trustworthy Decision-Making in Human-Machine Symbiosis
D Lyu
Auburn University, 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
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
OTD: (Near)-Optimal Off-Policy TD Learning
B Liu, D Lyu, W Dong, S Biaz
arXiv preprint arXiv:1704.05147, 2017
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