Bo Liu


Assistant Professor
Department of Computer Science and Software Engineering
3101P Shelby Center for Engineering Technology
Auburn University
Auburn, AL 36849-5347
Email:
boliu AT auburn DOT edu

[Google Scholar]


Publications

2016

  • Dantzig Selector with an Approximately Optimal Denoising Matrix and its Application to Reinforcement Learning.
    B Liu, L Zhang, J Liu.
    32nd Conference on Uncertainty in Artificial Intelligence (UAI), Jersey City, NJ, 2016

  • Proximal Gradient Temporal Difference Learning Algorithms.
    B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik.
    25th International Joint Conference on Artificial Intelligence (IJCAI), New York City, 2016

  • Uncorrelated Group LASSO.
    D Kong, J Liu, B Liu, X Bao.
    30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, AZ, Feb 12-17, 2016

  • 2015

  • Finite-Sample Analysis of Proximal Gradient TD Algorithms.
    B Liu, J Liu, M Ghavamzadeh, S Mahadevan, M Petrik.
    31st Conference on Uncertainty in Artificial Intelligence (UAI), Amsterdam, The Netherlands, July 12-16, 2015, Facebook Best Student Paper Award. [ppt] [video]

  • 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, J Liu
    arXiv preprint arXiv:1405.6757, 2014

  • Bluetooth aided mobile phone localization: a nonlinear neural circuit approach.
    S Li, Y Lou, B Liu
    ACM Transactions on Embedded Computing Systems (ACM TECS), 2014

  • 2013

  • 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 TNN) 24, 301-309, 2013

  • 2012

  • Regularized Off-Policy TD-Learning.
    B Liu,
    S Mahadevan, J Liu.
    26th Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, 2012, December 3-6, NIPS Spotlight (5% acceptance). [ppt] [video]

  • Sparse Q-learning with Mirror Descent.
    S Mahadevan, B Liu.
    28th Conference on Uncertainty in Artificial Intelligence (UAI), August 15-17, 2012, Catalina Island, CA. [ppt]

  • Sparse Manifold Alignment.
    B Liu, C Wang, H Vu, S Mahadevan.
    Univ. of Massachusetts Technical Report UM-CS-2012-030.

  • 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, One of the most-cited Neurocomputing paper since 2012 according to Scopus

  • Neural network based mobile phone localization using Bluetooth connectivity.
    S Li, B Liu, B Chen, Y Lou
    Neural Computing & Applications, 2012

  • 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

  • A Nonlinear Model to Generate the Winner-take-all Competition.
    S Li, Y Wang, J Yu, B Liu
    Communications in Nonlinear Science and Numerical Simulation, 2012

  • 2011

  • Compressive Reinforcement Learning with Oblique Random Projections.
    B Liu
    , S Mahadevan.
    Univ. of Massachusetts Technical Report UM-CS-2011-024.

  • 2010

  • Basis Construction from Power Series Expansions of Value Functions.
    S Mahadevan, B Liu.
    24th Annual Conference on Neural Information Processing Systems (NIPS), Vancouver, B.C., Canada, 2010, December 6-8. [ppt]

  • Two-time-scale online actor-critic paradigm driven by POMDP.
    B Liu, H He, DW Repperger
    International Conference on Networking, Sensing and Control (ICNSC), 2010.

  • Adaptive Dual Network Design for a Class of SIMO Systems with Nonlinear Time-variant Uncertainties.
    B Liu
    , HB He, S Chen
    Acta Automatica Sinica 36 (4), 564-572, 2010