A hierarchical learning architecture with multiple-goal representations based on adaptive dynamic programming. - Haibo He; Bo Liu 006 (ICNSC, 2010)

Two-time-scale online actor-critic paradigm driven by POMDP. - Bo Liu 006; Haibo He; Daniel W. Repperger (ICNSC, 2010)

Basis Construction from Power Series Expansions of Value Functions. - Sridhar Mahadevan; Bo Liu 006 (NIPS, 2010)

Regularized Off-Policy TD-Learning. - Bo Liu 006; Sridhar Mahadevan; Ji Liu 002 (NIPS, 2012)

Sparse Q-learning with Mirror Descent. - Sridhar Mahadevan; Bo Liu 006 (UAI, 2012)

Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks. - Shuai Li 002; Sanfeng Chen; Bo Liu 006; Yangming Li; Yongsheng Liang 001 (Neurocomputing, 2012)

Intelligent Control of a Sensor-Actuator System via Kernelized Least-Squares Policy Iteration. - Bo Liu 006; Sanfeng Chen; Shuai Li 002; Yongsheng Liang 001 (Sensors, 2012)

Self-Learning Variable Structure Control for a Class of Sensor-Actuator Systems. - Sanfeng Chen; Shuai Li 002; Bo Liu 006; Yuesheng Lou; Yongsheng Liang 001 (Sensors, 2012)

A nonlinear model to generate the winner-take-all competition. - Shuai Li 002; Yunpeng Wang; Jiguo Yu; Bo Liu 006 (Commun. Nonlinear Sci. Numer. Simul., 2013)

Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks. - Shuai Li 002; Hongzhu Cui; Yangming Li; Bo Liu 006; Yuesheng Lou (Neural Comput. Appl., 2013)

Neural network based mobile phone localization using Bluetooth connectivity. - Shuai Li 002; Bo Liu 006; Baogang Chen; Yuesheng Lou (Neural Comput. Appl., 2013)

Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function. - Shuai Li 002; Sanfeng Chen; Bo Liu 006 (Neural Process. Lett., 2013)

Selective Positive-Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks. - Shuai Li 002; Bo Liu 006; Yangming Li (IEEE Trans. Neural Networks Learn. Syst., 2013)

Proximal Reinforcement Learning: A New Theory of Sequential Decision Making in Primal-Dual Spaces. - Sridhar Mahadevan; Bo Liu 006; Philip S. Thomas; William Dabney; Stephen Giguere 001; Nicholas Jacek; Ian Gemp; Ji Liu 002 (CoRR, 2014)

Bluetooth aided mobile phone localization: A nonlinear neural circuit approach. - Shuai Li 002; Yuesheng Lou; Bo Liu 006 (ACM Trans. Embed. Comput. Syst., 2014)

Solving Large Sustainable Supply Chain Networks Using Variational Inequalities. - Ian Gemp; Sridhar Mahadevan; Bo Liu 006 (AAAI Workshop: Computational Sustainability, 2015)

Finite-Sample Analysis of Proximal Gradient TD Algorithms. - Bo Liu 006; Ji Liu 002; Mohammad Ghavamzadeh; Sridhar Mahadevan; Marek Petrik (UAI, 2015)

Uncorrelated Group LASSO. - Deguang Kong; Ji Liu 002; Bo Liu 006; Xuan Bao (AAAI, 2016)

Neural Clinical Paraphrase Generation with Attention. - Sadid A. Hasan; Bo Liu 006; Joey Liu; Ashequl Qadir; Kathy Lee; Vivek V. Datla; Aaditya Prakash; Oladimeji Farri (ClinicalNLP@COLING 2016, 2016)

Proximal Gradient Temporal Difference Learning Algorithms. - Bo Liu 006; Ji Liu 002; Mohammad Ghavamzadeh; Sridhar Mahadevan; Marek Petrik (IJCAI, 2016)

Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning. - Bo Liu 006; Luwan Zhang; Ji Liu 002 (UAI, 2016)

O2TD: (Near)-Optimal Off-Policy TD Learning. - Bo Liu 006; Daoming Lyu; Wen Dong 001; Saad Biaz (CoRR, 2017)

Deep Multimodal Reinforcement Network with Contextually Guided Recurrent Attention for Image Question Answering. - Aiwen Jiang; Bo Liu 006; Ming-Wen Wang 001 (J. Comput. Sci. Technol., 2017)

R2PG: Risk-Sensitive and Reliable Policy Gradient. - Bo Liu 006; Ji Liu 002; Kenan Xiao (AAAI Workshops, 2018)

Program Search for Machine Learning Pipelines Leveraging Symbolic Planning and Reinforcement Learning. - Fangkai Yang; Steven Gustafson; Alexander Elkholy; Daoming Lyu; Bo Liu 006 (GPTP, 2018)

PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. - Fangkai Yang; Daoming Lyu; Bo Liu 006; Steven Gustafson (IJCAI, 2018)

A Block Coordinate Ascent Algorithm for Mean-Variance Optimization. - Tengyang Xie; Bo Liu 006; Yangyang Xu; Mohammad Ghavamzadeh; Yinlam Chow; Daoming Lyu; Daesub Yoon (NeurIPS, 2018)

Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning. - Bo Liu 006; Luwan Zhang; Ji Liu 002 (CoRR, 2018)

QUOTA: The Quantile Option Architecture for Reinforcement Learning. - Shangtong Zhang; Borislav Mavrin; Linglong Kong; Bo Liu 006; Hengshuai Yao (CoRR, 2018)

Proximal Gradient Temporal Difference Learning: Stable Reinforcement Learning with Polynomial Sample Complexity. - Bo Liu 006; Ian Gemp; Mohammad Ghavamzadeh; Ji Liu 002; Sridhar Mahadevan; Marek Petrik (J. Artif. Intell. Res., 2018)

SDRL: Interpretable and Data-Efficient Deep Reinforcement Learning Leveraging Symbolic Planning. - Daoming Lyu; Fangkai Yang; Bo Liu 006; Steven Gustafson (AAAI, 2019)

Logic-Based Sequential Decision-Making. - Daoming Lyu; Fangkai Yang; Bo Liu 006; Daesub Yoon (AAAI, 2019)

Optimal Control of Complex Systems through Variational Inference with a Discrete Event Decision Process. - Fan Yang 057; Bo Liu 006; Wen Dong 001 (AAMAS, 2019)

A Human-Centered Data-Driven Planner-Actor-Critic Architecture via Logic Programming. - Daoming Lyu; Fangkai Yang; Bo Liu 006; Steven Gustafson (ICLP Technical Communications, 2019)

Provably Convergent Off-Policy Actor-Critic with Function Approximation. - Shangtong Zhang; Bo Liu 006; Hengshuai Yao; Shimon Whiteson (CoRR, 2019)

Restoration algorithm for noisy complex illumination. - Zhanwen Liu; Tao Gao 001; Fanjie Kong; Ziheng Jiao; Aodong Yang; Shuying Li; Bo Liu 006 (IET Comput. Vis., 2019)

Deep residual refining based pseudo-multi-frame network for effective single image super-resolution. - Kangfu Mei; Aiwen Jiang; Juncheng Li 003; Bo Liu 006; Jihua Ye; Mingwen Wang 001 (IET Image Process., 2019)

Stable and Efficient Policy Evaluation. - Daoming Lyu; Bo Liu 006; Matthieu Geist; Wen Dong 001; Saad Biaz; Qi Wang 009 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Hierarchical Feature Selection for Random Projection. - Qi Wang 009; Jia Wan 001; Feiping Nie 001; Bo Liu 006; Chenggang Yan 001; Xuelong Li 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values. - Shangtong Zhang; Bo Liu 006; Shimon Whiteson (ICML, 2020)

Provably Convergent Two-Timescale Off-Policy Actor-Critic with Function Approximation. - Shangtong Zhang; Bo Liu 006; Hengshuai Yao; Shimon Whiteson (ICML, 2020)

Per-Step Reward: A New Perspective for Risk-Averse Reinforcement Learning. - Shangtong Zhang; Bo Liu 006; Shimon Whiteson (CoRR, 2020)

Finite-Sample Analysis of GTD Algorithms. - Bo Liu 006; Ji Liu 002; Mohammad Ghavamzadeh; Sridhar Mahadevan; Marek Petrik (CoRR, 2020)

Variance-Reduced Off-Policy Memory-Efficient Policy Search. - Daoming Lyu; Qi Qi 006; Mohammad Ghavamzadeh; Hengshuai Yao; Tianbao Yang; Bo Liu 006 (CoRR, 2020)

Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning. - Shangtong Zhang; Bo Liu 006; Shimon Whiteson (AAAI, 2021)

Crowd understanding and analysis. - Qi Wang 009; Bo Liu 006; Jianzhe Lin (IET Image Process., 2021)

Ensemble single image deraining network via progressive structural boosting constraints. - Long Peng 003; Aiwen Jiang; Haoran Wei; Bo Liu 006; Mingwen Wang 001 (Signal Process. Image Commun., 2021)

Explainable Neuro-Symbolic Hierarchical Reinforcement Learning. - Daoming Lyu; Fangkai Yang; Hugh Kwon; Bo Liu 006; Wen Dong 001; Levent Yilmaz 001 (Neuro-Symbolic Artificial Intelligence, 2021)

TOPS: Transition-Based Volatility-Reduced Policy Search. - Liangliang Xu; Daoming Lyu; Yangchen Pan; Aiwen Jiang; Bo Liu 006 (AAMAS Workshops, 2022)

TOPS: Transition-based VOlatility-controlled Policy Search and its Global Convergence. - Liangliang Xu; Aiwen Jiang; Daoming Lyu; Bo Liu 006 (CoRR, 2022)

PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent - Daoming Lyu; Bo Liu 006; Jianshu Chen (CoRR, 2022)

Model credibility revisited: Concepts and considerations for appropriate trust. - Levent Yilmaz 001; Bo Liu 006 (J. Simulation, 2022)

TDM: Trustworthy Decision-Making Via Interpretability Enhancement. - Daoming Lyu; Fangkai Yang; Hugh Kwon; Wen Dong 001; Levent Yilmaz 001; Bo Liu 006 (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

From Past to Future: Rethinking Eligibility Traces. - Dhawal Gupta; Scott M. Jordan; Shreyas Chaudhari; Bo Liu 006; Philip S. Thomas; Bruno Castro da Silva (AAAI, 2024)

A Critical Review of Inductive Logic Programming Techniques for Explainable AI. - Zheng Zhang; Levent Onder Yilmaz; Bo Liu 006 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Robust Mobile Two-Factor Authentication Leveraging Acoustic Fingerprinting. - Yanzhi Ren; Tingyuan Yang; Zhiliang Xia; Hongbo Liu 002; Jiadi Yu; Bo Liu 006; Hongwei Li 001 (IEEE Trans. Mob. Comput., 2024)

StreakNet-Arch: An Anti-Scattering Network-Based Architecture for Underwater Carrier LiDAR-Radar Imaging. - Xuelong Li 001; Hongjun An; Haofei Zhao; Guangying Li; Bo Liu 006; Xing Wang; Guanghua Cheng; Guojun Wu; Zhe Sun (IEEE Trans. Image Process., 2025)

ArmSpy++: Enhanced PIN Inference through Video-based Fine-grained Arm Posture Analysis. - Huan Dai; Yuefeng Chen; Yicong Du; Luping Wang 001; Ziyu Shao; Hongbo Liu 002; Yanzhi Ren; Jiadi Yu; Bo Liu 006 (ACM Trans. Priv. Secur., 2025)