Bo Liu

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 39

Top Topics

Reinforcement Learning

Provably Convergent

Policy Evaluation

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Publications

Zheng Zhang, Levent Onder Yilmaz, Bo Liu
A Critical Review of Inductive Logic Programming Techniques for Explainable AI. IEEE Trans. Neural Networks Learn. Syst. 35 (8) (2024)
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)
Daoming Lyu, Fangkai Yang, Hugh Kwon, Wen Dong, Levent Yilmaz, Bo Liu
TDM: Trustworthy Decision-Making via Interpretability Enhancement. CoRR (2021)
Qi Wang, Bo Liu, Jianzhe Lin
Crowd understanding and analysis. IET Image Process. 15 (14) (2021)
Shangtong Zhang, Bo Liu, Shimon Whiteson
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning. AAAI (2021)
Long Peng, Aiwen Jiang, Haoran Wei, Bo Liu, Mingwen Wang
Ensemble single image deraining network via progressive structural boosting constraints. Signal Process. Image Commun. 99 (2021)
Shangtong Zhang, Bo Liu, Shimon Whiteson
Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning. CoRR (2020)
Daoming Lyu, Qi Qi, Mohammad Ghavamzadeh, Hengshuai Yao, Tianbao Yang, Bo Liu
Variance-Reduced Off-Policy Memory-Efficient Policy Search. CoRR (2020)
Bo Liu, Sridhar Mahadevan, Ji Liu
Regularized Off-Policy TD-Learning. CoRR (2020)
Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang
Stable and Efficient Policy Evaluation. CoRR (2020)
Shangtong Zhang, Bo Liu, Shimon Whiteson
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values. CoRR (2020)
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. CoRR (2020)
Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation. ICML (2020)
Shangtong Zhang, Bo Liu, Shimon Whiteson
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values. ICML (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)
Qi Wang, Jia Wan, Feiping Nie, Bo Liu, Chenggang Yan, Xuelong Li
Hierarchical Feature Selection for Random Projection. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. AAAI (2019)
Zhanwen Liu, Tao Gao, Fanjie Kong, Ziheng Jiao, Aodong Yang, Shuying Li, Bo Liu
Restoration algorithm for noisy complex illumination. IET Comput. Vis. 13 (2) (2019)
Daoming Lyu, Fangkai Yang, Bo Liu, Daesub Yoon
Logic-Based Sequential Decision-Making. AAAI (2019)
Shangtong Zhang, Bo Liu, Hengshuai Yao, Shimon Whiteson
Provably Convergent Off-Policy Actor-Critic with Function Approximation. CoRR (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)
Shangtong Zhang, Borislav Mavrin, Linglong Kong, Bo Liu, Hengshuai Yao
QUOTA: The Quantile Option Architecture for Reinforcement Learning. CoRR (2018)
Bo Liu, Ji Liu, Kenan Xiao
R2PG: Risk-Sensitive and Reliable Policy Gradient. AAAI Workshops (2018)
Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning. CoRR (2018)
Bo Liu, Ian Gemp, Mohammad Ghavamzadeh, Ji Liu, Sridhar Mahadevan, Marek Petrik
Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. J. Artif. Intell. Res. 63 (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, Luwan Zhang, Ji Liu
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning. CoRR (2018)
Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz
TD: (Near)-Optimal Off-Policy TD Learning. CoRR (2017)
Aiwen Jiang, Bo Liu, Ming-Wen Wang
Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering. J. Comput. Sci. Technol. 32 (4) (2017)
Bo Liu, Luwan Zhang, Ji Liu
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning. UAI (2016)
Deguang Kong, Ji Liu, Bo Liu, Xuan Bao
Uncorrelated Group LASSO. AAAI (2016)
Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
Proximal Gradient Temporal Difference Learning Algorithms. IJCAI (2016)
Sadid A. Hasan, Bo Liu, Joey Liu, Ashequl Qadir, Kathy Lee, Vivek V. Datla, Aaditya Prakash, Oladimeji Farri
Neural Clinical Paraphrase Generation with Attention. ClinicalNLP@COLING 2016 (2016)
Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik
Finite-Sample Analysis of Proximal Gradient TD Algorithms. UAI (2015)
Ian Gemp, Sridhar Mahadevan, Bo Liu
Solving Large Sustainable Supply Chain Networks Using Variational Inequalities. AAAI Workshop: Computational Sustainability (2015)
Sridhar Mahadevan, Bo Liu, Philip S. Thomas, William Dabney, Stephen Giguere, Nicholas Jacek, Ian Gemp, Ji Liu
Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces. CoRR (2014)
Shuai Li, Yuesheng Lou, Bo Liu
Bluetooth aided mobile phone localization: A nonlinear neural circuit approach. ACM Trans. Embed. Comput. Syst. 13 (4) (2014)
Shuai Li, Sanfeng Chen, Bo Liu
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function. Neural Process. Lett. 37 (2) (2013)
Shuai Li, Yunpeng Wang, Jiguo Yu, Bo Liu
A nonlinear model to generate the winner-take-all competition. Commun. Nonlinear Sci. Numer. Simul. 18 (3) (2013)
Shuai Li, Bo Liu, Baogang Chen, Yuesheng Lou
Neural network based mobile phone localization using Bluetooth connectivity. Neural Comput. Appl. 23 (3-4) (2013)
Shuai Li, Bo Liu, Yangming Li
Selective Positive-Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 24 (2) (2013)
Shuai Li, Hongzhu Cui, Yangming Li, Bo Liu, Yuesheng Lou
Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks. Neural Comput. Appl. 23 (3-4) (2013)
Sridhar Mahadevan, Bo Liu
Sparse Q-learning with Mirror Descent. UAI (2012)
Shuai Li, Sanfeng Chen, Bo Liu, Yangming Li, Yongsheng Liang
Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks. Neurocomputing 91 (2012)
Bo Liu, Sanfeng Chen, Shuai Li, Yongsheng Liang
Intelligent Control of a Sensor-Actuator System via Kernelized Least-Squares Policy Iteration. Sensors 12 (3) (2012)
Sridhar Mahadevan, Bo Liu
Sparse Q-learning with Mirror Descent CoRR (2012)
Bo Liu, Sridhar Mahadevan, Ji Liu
Regularized Off-Policy TD-Learning. NIPS (2012)
Sanfeng Chen, Shuai Li, Bo Liu, Yuesheng Lou, Yongsheng Liang
Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems. Sensors 12 (5) (2012)
Bo Liu, Haibo He, Daniel W. Repperger
Two-time-scale online actor-critic paradigm driven by POMDP. ICNSC (2010)
Haibo He, Bo Liu
A hierarchical learning architecture with multiple-goal representations based on adaptive dynamic programming. ICNSC (2010)
Sridhar Mahadevan, Bo Liu
Basis Construction from Power Series Expansions of Value Functions. NIPS (2010)