Author

Miao Liu

IBM - Cited by 2,808 - Reinforcement Learning - Multiagent Systems - Statistical Machine Learning - Robotics

Biography

Dr. Miao Liu is currently working in Department of Pathology and Microbiology, University of Nebraska Medical Center, USA. Dr. Miao Liu is a Faculty Member in Protein Post-Translational Modifications.
Title
Cited by
Year
Socially Aware Motion Planning with Deep Reinforcement Learning
YF Chen, M Everett, M Liu, JP HowarXiv preprint arXiv:1703.08862, 2017201
635
2017
Learning to learn without forgetting by maximizing transfer and minimizing interference
M Riemer, I Cases, R Ajemian, M Liu, I Rish, Y Tu, G TesauroarXiv preprint arXiv:1810.11910, 2018201
554
2018
Decentralized Non-communicating Multiagent Collision Avoidance with Deep Reinforcement Learning
YF Chen, M Liu, M Everett, JP HowarXiv preprint arXiv:1609.07845, 285 - 292, 2016201
534
2016
Eigenoption discovery through the deep successor representation
MC Machado, C Rosenbaum, X Guo, M Liu, G Tesauro, M CampbellarXiv preprint arXiv:1710.11089, 2017201
131
2017
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 (01), 6128-6136, 2019201
121
2019
Gaussian processes for learning and control: A tutorial with examples
M Liu, G Chowdhary, BC Da Silva, SY Liu, JP HowIEEE Control Systems Magazine 38 (5), 53-86, 2018201
76
2018
Learning abstract options
M Riemer, M Liu, G TesauroAdvances in neural information processing systems 31, 2018201
73
2018
A policy gradient algorithm for learning to learn in multiagent reinforcement learning
DK Kim, M Liu, MD Riemer, C Sun, M Abdulhai, G Habibi, S Lopez-Cot, ...International Conference on Machine Learning, 5541-5550, 2021202
44
2021
Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions
M Liu, K Sivakumar, S Omidshafiei, C Amato, JP HowarXiv preprint arXiv:1707.07399, 2017201
38
2017
Learning hierarchical teaching policies for cooperative agents
DK Kim, M Liu, S Omidshafiei, S Lopez-Cot, M Riemer, G Habibi, ...arXiv preprint arXiv:1903.03216, 2019201
29
2019
Quickest change detection approach to optimal control in Markov decision processes with model changes
T Banerjee, M Liu, JP How2017 American control conference (ACC), 399-405, 2017201
21
2017
Automatic pan–tilt camera control for learning dirichlet process gaussian process (dpgp) mixture models of multiple moving targets
H Wei, P Zhu, M Liu, JP How, S FerrariIEEE Transactions on Automatic Control 64 (1), 159-173, 2018201
19
2018
The eigenoption-critic framework
M Liu, MC Machado, G Tesauro, M CampbellarXiv preprint arXiv:1712.04065, 2017201
18
2017
Dialog agent for conducting task-oriented computer-based communications
MS Campbell, M Liu, B SrivastavaUS Patent 10,387,463, 2019201
15
2019
Information value in nonparametric Dirichlet-process Gaussian-process (DPGP) mixture models
H Wei, W Lu, P Zhu, S Ferrari, M Liu, RH Klein, S Omidshafiei, JP HowAutomatica 74, 360-368, 2016201
13
2016
On the role of weight sharing during deep option learning
M Riemer, I Cases, C Rosenbaum, M Liu, G TesauroProceedings of the AAAI Conference on Artificial Intelligence 34 (04), 5519-5526, 2020202
11
2020
Influencing long-term behavior in multiagent reinforcement learning
DK Kim, M Riemer, M Liu, J Foerster, M Everett, C Sun, G Tesauro, ...Advances in Neural Information Processing Systems 35, 18808-18821, 2022202
10
2022
Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces
S Omidshafiei, C Amato, M Liu, M Everett, JP How, J Vian2017 IEEE International Conference on Robotics and Automation (ICRA), 863 - 870, 2017201
9
2017
Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations
S Omidshafiei, SY Liu, M Everett, BT Lopez, C Amato, M Liu, JP How, ...2017 IEEE International Conference on Robotics and Automation (ICRA), 71 - 7, 2017201
8
2017
Learning hierarchical teaching in cooperative multiagent reinforcement learning
DK Kim, M Liu, S Omidshafiei, S Lopez-Cot, M Riemer, G Habibi, ...arXiv preprint arXiv:1903.03216, 2019201
8
2019

Referred From: https://scholar.google.com/citations?user=7QHvAEYAAAAJ&hl=en

Cited by
Citations 2808
h-index 21
i10-index 29
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