Miao Liu
Citeras av
Citeras av
Socially Aware Motion Planning with Deep Reinforcement Learning
YF Chen, M Everett, M Liu, JP How
arXiv preprint arXiv:1703.08862, 2017
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
YF Chen, M Liu, M Everett, JP How
arXiv preprint arXiv:1609.07845, 285 - 292, 2016
Learning to learn without forgetting by maximizing transfer and minimizing interference
M Riemer, I Cases, R Ajemian, M Liu, I Rish, Y Tu, G Tesauro
arXiv preprint arXiv:1810.11910, 2018
Dynamic clustering via asymptotics of the dependent Dirichlet process mixture
T Campbell, M Liu, B Kulis, JP How, L Carin
Advances in Neural Information Processing Systems, 449-457, 2013
Eigenoption discovery through the deep successor representation
MC Machado, C Rosenbaum, X Guo, M Liu, G Tesauro, M Campbell
arXiv preprint arXiv:1710.11089, 2017
Bi-parameter CGM model for approximation of α-stable PDF
XT Li, J Sun, LW Jin, M Liu
Electronics Letters 44 (18), 1096-1097, 2008
Learning to teach in cooperative multiagent reinforcement learning
S Omidshafiei, DK Kim, M Liu, G Tesauro, M Riemer, C Amato, ...
Proceedings of the AAAI Conference on Artificial Intelligence 33, 6128-6136, 2019
A zero-watermarking algorithm based on DWT and chaotic modulation
H Cao, H Xiang, X Li, M Liu, S Yi, F Wei
Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and …, 2006
Gaussian processes for learning and control: A tutorial with examples
M Liu, G Chowdhary, BC Da Silva, SY Liu, JP How
IEEE Control Systems Magazine 38 (5), 53-86, 2018
Learning abstract options
M Riemer, M Liu, G Tesauro
Advances in neural information processing systems, 10424-10434, 2018
Stick-breaking policy learning in Dec-POMDPs
M Liu, C Amato, X Liao, L Carin, JP How
International Joint Conference on Artificial Intelligence (IJCAI) 2015, 2015
Off-policy reinforcement learning with Gaussian processes
G Chowdhary, M Liu, R Grande, J How
The 1st Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2013
The infinite regionalized policy representation
M Liu, X Liao, L Carin
ICML, 2011
Augmented Dictionary Learning for Motion Prediction
Y Chen, M Liu, J How
The International Conference on Robotics and Automation, 2527 - 2534, 2016
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions
M Liu, K Sivakumar, S Omidshafiei, C Amato, JP How
arXiv preprint arXiv:1707.07399, 2017
Learning for Decentralized Control of Multiagent Systems in Large, Partially-Observable Stochastic Environments.
M Liu, C Amato, EP Anesta, JD Griffith, JP How
AAAI, 2523-2529, 2016
Motion Planning with Diffusion Maps
Y Chen, S Liu, M Liu, J Miller, J How
IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Deep q-networks for accelerating the training of deep neural networks
J Fu
arXiv, arXiv: 1606.01467, 2016
Predictive modeling of pedestrian motion patterns with Bayesian nonparametrics
Y Chen, M Liu, SY Liu, J Miller, JP How
AIAA Guidance, Navigation, and Control Conference, 1861, 2016
A near optimum detection in alpha-stable impulsive noise
X Li, Y Jiang, M Liu
2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009
Systemet kan inte utföra åtgärden just nu. Försök igen senare.
Artiklar 1–20