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World Model as a Graph: Learning Latent Landmarks for Planning


Nov 25, 2020
Lunjun Zhang, Ge Yang, Bradly C. Stadie


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Few shot domain adaptation for in situ macromolecule structural classification in cryo-electron tomograms


Jul 30, 2020
Liangyong Yu, Ran Li, Xiangrui Zeng, Hongyi Wang, Jie Jin, Ge Yang, Rui Jiang, Min Xu

* Bioinformatics 2020 
* This article has been accepted for publication in Bioinformatics Published by Oxford University Press 

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Plan2Vec: Unsupervised Representation Learning by Latent Plans


May 07, 2020
Ge Yang, Amy Zhang, Ari S. Morcos, Joelle Pineau, Pieter Abbeel, Roberto Calandra

* Proceedings of Machine Learning Research, the 2nd Annual Conference on Learning for Dynamics and Control (2020) Volume 120, 1-12 
* code available at https://geyang.github.io/plan2vec 

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Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion


Oct 30, 2019
Yuanhao Guo, Fons J. Verbeek, Ge Yang

* 4 pages, 4 figures 

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Learning Plannable Representations with Causal InfoGAN


Jul 24, 2018
Thanard Kurutach, Aviv Tamar, Ge Yang, Stuart Russell, Pieter Abbeel

* ICML / IJCAI / AAMAS 2018 Workshop on Planning and Learning (PAL-18) 

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Some Considerations on Learning to Explore via Meta-Reinforcement Learning


Mar 03, 2018
Bradly C. Stadie, Ge Yang, Rein Houthooft, Xi Chen, Yan Duan, Yuhuai Wu, Pieter Abbeel, Ilya Sutskever


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