Daoming Lyu

According to our database, Daoming Lyu authored at least 15 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

TDM: Trustworthy Decision-Making Via Interpretability Enhancement.

Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu

IEEE Trans. Emerg. Top. Comput. Intell., 2022

PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent

Daoming Lyu, Bo Liu, Jianshu Chen

CoRR, 2022

TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence.

Liangliang Xu, Aiwen Jiang, Daoming Lyu, Bo Liu

CoRR, 2022

TOPS: Transition-Based Volatility-Reduced Policy Search.

Liangliang Xu, Daoming Lyu, Yangchen Pan, Aiwen Jiang, Bo Liu

Proceedings of the Autonomous Agents and Multiagent Systems. Best and Visionary Papers, 2022

2021

Explainable Neuro-Symbolic Hierarchical Reinforcement Learning.

Daoming Lyu, Fangkai Yang, Hugh Kwon, Bo Liu, Wen Dong, Levent Yilmaz

Proceedings of the Neuro-Symbolic Artificial Intelligence: The State of the Art, 2021

2020

Variance-Reduced Off-Policy Memory-Efficient Policy Search.

Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu

CoRR, 2020

2019

Stable and Efficient Policy Evaluation.

Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang

IEEE Trans. Neural Networks Learn. Syst., 2019

A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming.

Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson

Proceedings of the Proceedings 35th International Conference on Logic Programming (Technical Communications), 2019

Knowledge-Based Sequential Decision-Making Under Uncertainty.

Daoming Lyu

CoRR, 2019

Logic-Based Sequential Decision-Making.

Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning.

Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization.

Tengyang Xie, Bo Liu, Yangyang Xu, Mohammad Ghavamzadeh, Yinlam Chow, Daoming Lyu, Daesub Yoon

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making.

Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning.

Fangkai Yang, Steven Gustafson, Alexander Elkholy, Daoming Lyu, Bo Liu

Proceedings of the Genetic Programming Theory and Practice XVI, 2018

2017

O²TD: (Near)-Optimal Off-Policy TD Learning.

Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz

CoRR, 2017