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ORCIDBo Liu 0006
Person information
- affiliation: Auburn University, AL, USA
- affiliation (former): University of Massachusetts, Amherst, MA, USA
Other persons with the same name
- Bo Liu — disambiguation page
- Bo Liu 0001
![[0000-0002-3603-6617]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-3603-6617")
— University of Technology Sydney, NSW, Australia (and 3 more) - Bo Liu 0002 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 3 more)
- Bo Liu 0003 — Glyndwr University, Wrexham, UK (and 2 more)
- Bo Liu 0004 — Southeast University, School of Computer Science and Engineering, Nanjing, China
- Bo Liu 0005 — JD Digits, Mountain View, CA, USA (and 3 more)
- Bo Liu 0007 — North China University of Technology, College of Science, Beijing, China (and 1 more)
- Bo Liu 0008 — Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Center for Forecasting Science, Beijing, China (and 3 more)
- Bo Liu 0009 — Xidian University, International Research Center for Intelligent Perception and Computation, Xi'an, China (and 2 more)
- Bo Liu 0010 — NEC Labs China, Beijing, China
- Bo Liu 0011 — Beijing University of Technology, Beijing, China
- Bo Liu 0012 — National University of Defense Technology, College of Advanced Interdisciplinary Studies, Changsha, China
- Bo Liu 0013 — Austrian Academy of Sciences, Institute for Quantum Optics and Quantum Information, Vienna, Austria (and 1 more)
- Bo Liu 0014 — National University of Defense Technology, School of Computer Science, Changsha, China
- Bo Liu 0015 — Hong Kong University of Science and Technology, Hong Kong
- Bo Liu 0016 — Qian Xuesen Laboratory of Space Technology, Beijing, China
- Bo Liu 0017 — Harbin Institute of Technology, School of Computer Science and Technology, China
- Bo Liu 0018 — Beijing Institute of Control Engineering, On-Board Computer and Electronic Technology Laboratory, Beijing, China (and 1 more)
- Bo Liu 0019 — Southeast University, National ASIC System Engineering Technology Research Center, Nanjing, China
- Bo Liu 0020 — Nanjing University of Information Science and Technology, Institute of Optoelectronics, China (and 1 more)
- Bo Liu 0021 — University of Maryland, College Park, MD, USA
- Bo Liu 0022 — Chongqing University of Posts and Telecommunication, Chongqing Key Laboratory of Signal and Information Processing, Chongqing, China
- Bo Liu 0023 — Harbin Institute of Technology, School of Computer Sciences and Technology, Center for Bioinformatics, Harbin, China
- Bo Liu 0024 — Beijing University of Technology, School of Software Engineering, Beijing, China
- Bo Liu 0025 — University of Nebraska-Lincoln, Power and Energy Systems Laboratory, Lincoln, NE, USA
- Bo Liu 0026 — Southeast University, National ASIC System Engineering Technology Research Center, Nanjing, China
- Bo Liu 0027 — Beihang University, School of Astronautics, Image Processing Center, Beijing, China
- Bo Liu 0028 — Tianjin University, School of Electrical and Information Engineering, China
- Bo Liu 0029 — University of Tennessee, Department of Electrical Engineering and Computer Science, Center for Ultra-Wide-Area Resilient Electric Energy Transmission Networks, Knoxville, TN, USA
- Bo Liu 0030 — University of Science and Technology Beijing, School of Mechanical Engineering, Beijing, China
- Bo Liu 0031 — Henan University of Science and Technology, Luoyang, China (and 1 more)
- Bo Liu 0032 — Beijing Jiaotong University, School of Electrical Engineering, Beijing, China
- Bo Liu 0033 — Southwest University, College of Computer and Information Science, Chongqing, China (and 1 more)
- Bo Liu 0034 — University of Manchester, School of Electrical and Electronic Engineering, UK
- Bo Liu 0035 — Chinese Academy of Sciences, Institute of Automation, Beijing, China
- Bo Liu 0036 — Northeast Electric Power University, Jilin City, School of Electrical Engineering, China
- Bo Liu 0037 — Army Equipment Department in Shenyang, China
- Bo Liu 0038 — Shenyang Ligong University, School of Automation and Electrical Engineering, China
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2020 – today
- 2020
[i10]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 abs/2006.03976 (2020)- [i9]Daoming Lyu, Bo Liu, Matthieu Geist, Wen Dong, Saad Biaz, Qi Wang:
Stable and Efficient Policy Evaluation. CoRR abs/2006.03978 (2020) - [i8]Bo Liu, Sridhar Mahadevan, Ji Liu:
Regularized Off-Policy TD-Learning. CoRR abs/2006.05314 (2020)
2010 – 2019
- 2019
- [j14]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): 224-232 (2019) - [j13]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): 1581-1586 (2019) - [j12]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) - 2018
- [j11]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: 461-494 (2018) - [c14]Bo Liu, Ji Liu, Kenan Xiao:
R2PG: Risk-Sensitive and Reliable Policy Gradient. AAAI Workshops 2018: 682-687 - [c13]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 - [c12]Fangkai Yang, Daoming Lyu, Bo Liu, Steven Gustafson:
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making. IJCAI 2018: 4860-4866 - [c11]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 - [i7]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) - [i6]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) - [i5]Daoming Lyu, Fangkai Yang, Bo Liu, Steven Gustafson:
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning. CoRR abs/1811.00090 (2018) - [i4]Bo Liu, Luwan Zhang, Ji Liu:
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning. CoRR abs/1811.00958 (2018) - 2017
- [j10]Ai-Wen 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): 738-748 (2017) - [i3]Bo Liu, Daoming Lyu, Wen Dong, Saad Biaz:
O2TD: (Near)-Optimal Off-Policy TD Learning. CoRR abs/1704.05147 (2017) - 2016
- [c10]Deguang Kong, Ji Liu, Bo Liu, Xuan Bao:
Uncorrelated Group LASSO. AAAI 2016: 1765-1771 - [c9]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: 42-53 - [c8]Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik:
Proximal Gradient Temporal Difference Learning Algorithms. IJCAI 2016: 4195-4199 - [c7]Bo Liu, Luwan Zhang, Ji Liu:
Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application in Sparse Reinforcement Learning. UAI 2016 - 2015
- [c6]Ian Gemp, Sridhar Mahadevan, Bo Liu:
Solving Large Sustainable Supply Chain Networks Using Variational Inequalities. AAAI Workshop: Computational Sustainability 2015 - [c5]Bo Liu, Ji Liu, Mohammad Ghavamzadeh, Sridhar Mahadevan, Marek Petrik:
Finite-Sample Analysis of Proximal Gradient TD Algorithms. UAI 2015: 504-513 - 2014
- [j9]Shuai Li, Yuesheng Lou, Bo Liu:
Bluetooth aided mobile phone localization: A nonlinear neural circuit approach. ACM Trans. Embed. Comput. Syst. 13(4): 78:1-78:15 (2014) - [i2]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 abs/1405.6757 (2014) - 2013
- [j8]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): 435-442 (2013) - [j7]Shuai Li, Bo Liu, Baogang Chen, Yuesheng Lou:
Neural network based mobile phone localization using Bluetooth connectivity. Neural Comput. Appl. 23(3-4): 667-675 (2013) - [j6]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): 1051-1060 (2013) - [j5]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): 189-205 (2013) - [j4]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): 301-309 (2013) - 2012
- [j3]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: 1-10 (2012) - [j2]Bo Liu, Sanfeng Chen, Shuai Li, Yongsheng Liang:
Intelligent Control of a Sensor-Actuator System via Kernelized Least-Squares Policy Iteration. Sensors 12(3): 2632-2653 (2012) - [j1]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): 6117-6128 (2012) - [c4]Bo Liu, Sridhar Mahadevan, Ji Liu:
Regularized Off-Policy TD-Learning. NIPS 2012: 845-853 - [c3]Sridhar Mahadevan, Bo Liu:
Sparse Q-learning with Mirror Descent. UAI 2012: 564-573 - [i1]Sridhar Mahadevan, Bo Liu:
Sparse Q-learning with Mirror Descent. CoRR abs/1210.4893 (2012) - 2010
- [c2]Bo Liu, Haibo He, Daniel W. Repperger:
Two-time-scale online actor-critic paradigm driven by POMDP. ICNSC 2010: 243-248 - [c1]Sridhar Mahadevan, Bo Liu:
Basis Construction from Power Series Expansions of Value Functions. NIPS 2010: 1540-1548
Coauthor Index
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