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Ego4D: Around the World in 3,000 Hours of Egocentric Video


Oct 13, 2021
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Christian Fuegen, Abrham Gebreselasie, Cristina Gonzalez, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jachym Kolar, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Yunyi Zhu, Pablo Arbelaez, David Crandall, Dima Damen, Giovanni Maria Farinella, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik


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Learning Multi-Objective Curricula for Deep Reinforcement Learning


Oct 06, 2021
Jikun Kang, Miao Liu, Abhinav Gupta, Chris Pal, Xue Liu, Jie Fu


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Context-Specific Representation Abstraction for Deep Option Learning


Sep 20, 2021
Marwa Abdulhai, Dong-Ki Kim, Matthew Riemer, Miao Liu, Gerald Tesauro, Jonathan P. How


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Egocentric Activity Recognition and Localization on a 3D Map


May 27, 2021
Miao Liu, Lingni Ma, Kiran Somasundaram, Yin Li, Kristen Grauman, James M. Rehg, Chao Li


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4D Human Body Capture from Egocentric Video via 3D Scene Grounding


Nov 26, 2020
Miao Liu, Dexin Yang, Yan Zhang, Zhaopeng Cui, James M. Rehg, Siyu Tang


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Consolidation via Policy Information Regularization in Deep RL for Multi-Agent Games


Nov 23, 2020
Tyler Malloy, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro, Chris R. Sims


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A Policy Gradient Algorithm for Learning to Learn in Multiagent Reinforcement Learning


Oct 31, 2020
Dong-Ki Kim, Miao Liu, Matthew Riemer, Chuangchuang Sun, Marwa Abdulhai, Golnaz Habibi, Sebastian Lopez-Cot, Gerald Tesauro, Jonathan P. How

* Under review as a conference paper 

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Deep RL With Information Constrained Policies: Generalization in Continuous Control


Oct 09, 2020
Tyler Malloy, Chris R. Sims, Tim Klinger, Miao Liu, Matthew Riemer, Gerald Tesauro


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In the Eye of the Beholder: Gaze and Actions in First Person Video


May 31, 2020
Yin Li, Miao Liu, James M. Rehg

* Submitted to TPAMI 

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On the Role of Weight Sharing During Deep Option Learning


Feb 06, 2020
Matthew Riemer, Ignacio Cases, Clemens Rosenbaum, Miao Liu, Gerald Tesauro

* AAAI 2020 

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Characterization and Thermal Management of a DC Motor-Driven Resonant Actuator for Miniature Mobile Robots with Oscillating Limbs


Jan 24, 2020
David Colmenares, Randall Kania, Miao Liu, Metin Sitti

* 8 pages, 8 figures, 4 tables 

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Forecasting Human Object Interaction: Joint Prediction of Motor Attention and Egocentric Activity


Nov 25, 2019
Miao Liu, Siyu Tang, Yin Li, James Rehg


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Paying More Attention to Motion: Attention Distillation for Learning Video Representations


Apr 05, 2019
Miao Liu, Xin Chen, Yun Zhang, Yin Li, James M. Rehg


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Learning Hierarchical Teaching in Cooperative Multiagent Reinforcement Learning


Mar 07, 2019
Dong Ki Kim, Miao Liu, Shayegan Omidshafiei, Sebastian Lopez-Cot, Matthew Riemer, Golnaz Habibi, Gerald Tesauro, Sami Mourad, Murray Campbell, Jonathan P. How


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Learning Abstract Options


Nov 06, 2018
Matthew Riemer, Miao Liu, Gerald Tesauro

* NIPS 2018 

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Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference


Oct 29, 2018
Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro


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Learning to Teach in Cooperative Multiagent Reinforcement Learning


Aug 31, 2018
Shayegan Omidshafiei, Dong-Ki Kim, Miao Liu, Gerald Tesauro, Matthew Riemer, Christopher Amato, Murray Campbell, Jonathan P. How


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Socially Aware Motion Planning with Deep Reinforcement Learning


May 04, 2018
Yu Fan Chen, Michael Everett, Miao Liu, Jonathan P. How

* 8 pages 

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Eigenoption Discovery through the Deep Successor Representation


Feb 23, 2018
Marlos C. Machado, Clemens Rosenbaum, Xiaoxiao Guo, Miao Liu, Gerald Tesauro, Murray Campbell

* Published as a conference paper at ICLR 2018 

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The Eigenoption-Critic Framework


Dec 11, 2017
Miao Liu, Marlos C. Machado, Gerald Tesauro, Murray Campbell


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Learning for Multi-robot Cooperation in Partially Observable Stochastic Environments with Macro-actions


Aug 18, 2017
Miao Liu, Kavinayan Sivakumar, Shayegan Omidshafiei, Christopher Amato, Jonathan P. How

* Accepted to the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) 

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Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces


Mar 16, 2017
Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian


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Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations


Mar 16, 2017
Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett T. Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian


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Stick-Breaking Policy Learning in Dec-POMDPs


Nov 23, 2015
Miao Liu, Christopher Amato, Xuejun Liao, Lawrence Carin, Jonathan P. How


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Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process Mixture


Nov 01, 2013
Trevor Campbell, Miao Liu, Brian Kulis, Jonathan P. How, Lawrence Carin

* This paper is from NIPS 2013. Please use the following BibTeX citation: @inproceedings{Campbell13_NIPS, Author = {Trevor Campbell and Miao Liu and Brian Kulis and Jonathan P. How and Lawrence Carin}, Title = {Dynamic Clustering via Asymptotics of the Dependent Dirichlet Process}, Booktitle = {Advances in Neural Information Processing Systems (NIPS)}, Year = {2013}} 

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