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2020 – today
- 2022
[j2]Daoming Lyu
, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu:
TDM: Trustworthy Decision-Making Via Interpretability Enhancement. IEEE Trans. Emerg. Top. Comput. Intell. 6(3): 450-461 (2022)- [c7]Liangliang Xu, Daoming Lyu, Yangchen Pan, Aiwen Jiang, Bo Liu:
TOPS: Transition-Based Volatility-Reduced Policy Search. AAMAS Workshops 2022: 3-47 - [i10]Liangliang Xu, Aiwen Jiang, Daoming Lyu, Bo Liu:
TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence. CoRR abs/2201.09857 (2022) - [i9]Daoming Lyu, Bo Liu, Jianshu Chen:
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent. CoRR abs/2202.00531 (2022) - 2021
- [p1]Daoming Lyu, Fangkai Yang, Hugh Kwon, Bo Liu, Wen Dong, Levent Yilmaz:
Explainable Neuro-Symbolic Hierarchical Reinforcement Learning. Neuro-Symbolic Artificial Intelligence 2021: 235-252 - [i8]Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu:
TDM: Trustworthy Decision-Making via Interpretability Enhancement. CoRR abs/2108.06080 (2021) - 2020
- [i7]Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang:
Stable and Efficient Policy Evaluation. CoRR abs/2006.03978 (2020) - [i6]Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu:
Variance-Reduced Off-Policy Memory-Efficient Policy Search. CoRR abs/2009.06548 (2020)
2010 – 2019
- 2019
- [j1]Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang:
Stable and Efficient Policy Evaluation. IEEE Trans. Neural Networks Learn. Syst. 30(6): 1831-1840 (2019) - [c6]Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. AAAI 2019: 2970-2977 - [c5]Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon:
Logic-Based Sequential Decision-Making. AAAI 2019: 9995-9996 - [c4]Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming. ICLP Technical Communications 2019: 182-195 - [i5]Daoming Lyu:
Knowledge-Based Sequential Decision-Making Under Uncertainty. CoRR abs/1905.07030 (2019) - 2018
- [c3]Fangkai Yang, Steven Gustafson, Alexander Elkholy, Daoming Lyu, Bo Liu:
Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning. GPTP 2018: 209-231 - [c2]Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson:
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. IJCAI 2018: 4860-4866 - [c1]Tengyang Xie, Bo Liu, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon:
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. NeurIPS 2018: 1073-1083 - [i4]Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson:
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. CoRR abs/1804.07779 (2018) - [i3]Bo Liu, Tengyang Xie, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon:
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. CoRR abs/1809.02292 (2018) - [i2]Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning. CoRR abs/1811.00090 (2018) - 2017
- [i1]Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz:
O2TD: (Near)-Optimal Off-Policy TD Learning. CoRR abs/1704.05147 (2017)
Coauthor Index
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