Contact Information

Education & Research Experiences

Research Interests

Selected Publications

(For the complete list of publications, please visit my Homepage)
  1. G. Chowdhary, M. Liu, R. C. Grande, T. J. Walsh, J. P. How, and L. Carin. Off-policy Reinforcement Learning with Gaussian processes. Acta Automatica Sinica special issue on advances in reinforcement learning and adaptive control, page (to appear), 2014.

  2. T. Campbell, M. Liu, B. Kulis, and J. P. How. Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture. In Neural Information Processing Systems (NIPS), 2013.

  3. M. Liu, X. Liao, and L. Carin. Online Expectation Maximization for Reinforcement Learning in POMDPs. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence (IJCAI), Beijing, China, 2013.

  4. M. Liu, G. Girish, J.How, and L. Carin. Transfer Learning for Reinforcement Learning with De- pendent Dirichlet Process and Gaussian Process. In NIPS12 Workshop on Bayesian Nonparametric Models (BNPM) for Reliable Planning And Decision-Making Under Uncertainty, Lake Tahoe, Nevada, US, 2012.

  5. M. Liu, X. Liao, and L. Carin. Infinite Regionalized Policy Representation. In Proceedings of the 28th International Conference on Machine Learning (ICML), pages 769–776, Bellevue, Washing- ton, US, 2011.

  6. M. Liu, L. Belfore, Y. Shen, and M. Scerbo. Uterine Contraction Modeling and Simulation. In Selected Papers Presented at MODSIM World 2009 Conference and Expo, pages 135–140. NASA, Virginia Beach, Virginia, US, 2010.

  7. M. Liu and Y. Shen. Multi-frame Super Resolution Based on Block Motion Vector Processing and Kernel Constrained Convex Set Projectionn. In Proceedings of SPIE Visual Communications and Image Processing (VCIP), volume 7257, page 72571J, 2009.

  8. X. Li, Y Jiang, and M. Liu. A Near Optimum Detection in Alpha-Stable Impulse Noise. In 34th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 3305–3308, Taipei, Taiwan, 2009.