Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
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


  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

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

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Learning Abstract Options

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

* NIPS 2018 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Socially Aware Motion Planning with Deep Reinforcement Learning

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

* 8 pages 

  Access Paper or Ask Questions

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 

  Access Paper or Ask Questions

The Eigenoption-Critic Framework

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


  Access Paper or Ask Questions

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) 

  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Stick-Breaking Policy Learning in Dec-POMDPs

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


  Access Paper or Ask Questions

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}} 

  Access Paper or Ask Questions