Daoming Lyu

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 19

Top Topics

Logic Programming

Continuous Action

Reinforcement Learning

Top Venues

IEEE Trans. Emerg. Top. Comput. Intell.

AAMAS Workshops

Publications

Liangliang Xu, Daoming Lyu, Yangchen Pan, Aiwen Jiang, Bo Liu
TOPS: Transition-Based Volatility-Reduced Policy Search. AAMAS Workshops (2022)
Daoming Lyu, Bo Liu, Jianshu Chen
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent CoRR (2022)
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) (2022)
Liangliang Xu, Aiwen Jiang, Daoming Lyu, Bo Liu
TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence. CoRR (2022)
Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu
TDM: Trustworthy Decision-Making via Interpretability Enhancement. CoRR (2021)
Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu
Variance-Reduced Off-Policy Memory-Efficient Policy Search. CoRR (2020)
Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang
Stable and Efficient Policy Evaluation. CoRR (2020)
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) (2019)
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming. ICLP Technical Communications (2019)
Daoming Lyu
Knowledge-Based Sequential Decision-Making Under Uncertainty. CoRR (2019)
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. AAAI (2019)
Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon
Logic-Based Sequential Decision-Making. AAAI (2019)
Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. CoRR (2018)
Fangkai Yang, Steven Gustafson, Alexander Elkholy, Daoming Lyu, Bo Liu
Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning. GPTP (2018)
Bo Liu, Tengyang Xie, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. CoRR (2018)
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning. CoRR (2018)
Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. IJCAI (2018)
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)
Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz
TD: (Near)-Optimal Off-Policy TD Learning. CoRR (2017)