| 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 | 333 | 2012 |
| GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values S Zhang, B Liu, S Whiteson International Conference on Machine Learning (ICML), 2020 | 208* | 2020 |
| 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 | 183 | 2012 |
| 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 | 173* | 2015 |
| 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 | 167 | 2019 |
| 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 | 153 | 2018 |
| 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 | 109 | 2013 |
| 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 | 89 | 2018 |
| 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 | 81 | 2012 |
| Regularized Off-Policy TD-Learning B Liu, S Mahadevan, J Liu Advances in Neural Information Processing Systems 25 (NIPS), 845--853, 2012 | 71 | 2012 |
| 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 | 70 | 2014 |
| 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 | 69 | 2014 |
| 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 | 60 | 2021 |
| Provably Convergent Off-Policy Actor-Critic with Function Approximation S Zhang, B Liu, H Yao, S Whiteson International Conference on Machine Learning (ICML), 2020 | 54* | 2020 |
| 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 | 48 | 2018 |
| Sparse Q-learning with Mirror Descent S Mahadevan, B Liu Proceedings of the Conference on Uncertainty in AI (UAI), 2012 | 48 | 2012 |
| Model-free control of Lorenz chaos using an approximate optimal control strategy S Li, Y Li, B Liu, T Murray Communications in Nonlinear Science and Numerical Simulation 17 (12), 4891-4900, 2012 | 43 | 2012 |
| Systems and methods for neural clinical paraphrase generation SS Al Hasan, B Liu, OF Farri, J Liu, A Prakash US Patent 11,068,660, 2021 | 42 | 2021 |
| Neural network based mobile phone localization using Bluetooth connectivity S Li, B Liu, B Chen, Y Lou Neural Computing & Applications, 1-9, 2012 | 41 | 2012 |
| 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 | 40 | 2021 |
Shuai LiRobotics/AI在 comp.polyu.edu.hk 的电子邮件经过验证
