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Bo Liu
Bo Liu
University of Arizona, AAAI SM, IEEE SM
Verified email at cs.umass.edu - Homepage
Title
Cited by
Cited by
Year
Accelerating a Recurrent Neural Network to Finite-Time Convergence for Solving Time-Varying Sylvester Equation by Using a Sign-Bi-power Activation Function
S Li, S Chen, B Liu
Neural Processing Letters 37 (2), 189-205, 2012
3862012
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
S Zhang, B Liu, S Whiteson
International Conference on Machine Learning (ICML), 2020
274*2020
SDRL: Interpretable and Data-efficient Deep Reinforcement Learning Leveraging Symbolic Planning
D Lyu, F Yang, B Liu, S Gustafson
33rd AAAI Conference on Artificial Intelligence (AAAI), 2019
2262019
Decentralized kinematic control of a class of collaborative redundant manipulators via recurrent neural networks
S Li, S Chen, B Liu, Y Li, Y Liang
Neurocomputing, 2012
1962012
Finite-Sample Analysis of Proximal Gradient TD Algorithms
B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik
31th Conference on Uncertainty in Artificial Intelligence (UAI), 2015
187*2015
PEORL: Integrating Symbolic Planning and Hierarchical Reinforcement Learning for Robust Decision-Making
F Yang, D Lyu, B Liu, S Gustafson
27th International Joint Conference on Artificial Intelligence (IJCAI), 4860 …, 2018
1832018
Selective Positive-Negative Feedback Produces the Winner-Take-All Competition in Recurrent Neural Networks
S Li, B Liu, Y Li
IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS) 24 …, 2013
1182013
Learning correlated communication topology in multi-agent reinforcement learning
Y Du, B Liu, V Moens, Z Liu, Z Ren, J Wang, X Chen, H Zhang
Proceedings of the 20th International Conference on Autonomous Agents and …, 2021
1012021
Hierarchical Feature Selection for Random Projection
Q Wang, J Wan, F Nie, B Liu, C Young, X Li
IEEE Transactions on Neural Networks and Learning Systems (IEEE-TNNLS), 2018
952018
Decentralized control of collaborative redundant manipulators with partial command coverage via locally connected recurrent neural networks
S Li, H Cui, Y Li, B Liu, Y Lou
Neural Computing & Applications, 1-10, 2012
862012
Regularized Off-Policy TD-Learning
B Liu, S Mahadevan, J Liu
Advances in Neural Information Processing Systems 25 (NIPS), 845--853, 2012
772012
Provably Convergent Off-Policy Actor-Critic with Function Approximation
S Zhang, B Liu, H Yao, S Whiteson
International Conference on Machine Learning (ICML), 2020
76*2020
Proximal reinforcement learning: A new theory of sequential decision making in primal-dual spaces
S Mahadevan, B Liu, P Thomas, W Dabney, S Giguere, N Jacek, I Gemp, ...
arXiv preprint arXiv:1405.6757, 2014
752014
Bluetooth aided mobile phone localization: a nonlinear neural circuit approach
S Li, Y Lou, B Liu
ACM Transactions on Embedded Computing Systems (ACM TECS) 13 (4), 78, 2014
722014
Mean-Variance Policy Iteration for Risk−Averse Reinforcement Learning
S Zhang, B Liu, S Whiteson
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2021
702021
Transferable contextual bandit for cross-domain recommendation
B Liu, Y Wei, Y Zhang, Z Yan, Q Yang
Proceedings of the AAAI Conference on Artificial Intelligence (AAAI) 32 (1), 2018
592018
A lightweight multi-scale aggregated model for detecting aerial images captured by UAVs
Z Li, X Liu, Y Zhao, B Liu, Z Huang, R Hong
Journal of Visual Communication and Image Representation 77, 103058, 2021
512021
Sparse Q-learning with Mirror Descent
S Mahadevan, B Liu
Proceedings of the Conference on Uncertainty in AI (UAI), 2012
512012
Neural auto-curricula in two-player zero-sum games
X Feng, O Slumbers, Z Wan, B Liu, S McAleer, Y Wen, J Wang, Y Yang
Advances in Neural Information Processing Systems 34, 3504-3517, 2021
502021
A Block Coordinate Ascent Algorithm for Mean-Variance Optimization
Liu, B. and Xie, T. and Xu, Y. and Ghavamzadeh, M. and Chow, Y. and Lyu, D ...
Advances in Neural Information Processing Systems (NeurIPS), 2018
50*2018
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Articles 1–20