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Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming



Chuan Wen , Jianing Qian , Jierui Lin , Jiaye Teng , Dinesh Jayaraman , Yang Gao

* 28 pages, 13 figures, ICML2022 

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How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via $f$-Advantage Regression



Yecheng Jason Ma , Jason Yan , Dinesh Jayaraman , Osbert Bastani

* Project website: https://jasonma2016.github.io/GoFAR/ 

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SMODICE: Versatile Offline Imitation Learning via State Occupancy Matching



Yecheng Jason Ma , Andrew Shen , Dinesh Jayaraman , Osbert Bastani

* Project website: https://sites.google.com/view/smodice/home 

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Prospective Learning: Back to the Future



Joshua T. Vogelstein , Timothy Verstynen , Konrad P. Kording , Leyla Isik , John W. Krakauer , Ralph Etienne-Cummings , Elizabeth L. Ogburn , Carey E. Priebe , Randal Burns , Kwame Kutten , James J. Knierim , James B. Potash , Thomas Hartung , Lena Smirnova , Paul Worley , Alena Savonenko , Ian Phillips , Michael I. Miller , Rene Vidal , Jeremias Sulam , Adam Charles , Noah J. Cowan , Maxim Bichuch , Archana Venkataraman , Chen Li , Nitish Thakor , Justus M Kebschull , Marilyn Albert , Jinchong Xu , Marshall Hussain Shuler , Brian Caffo , Tilak Ratnanather , Ali Geisa , Seung-Eon Roh , Eva Yezerets , Meghana Madhyastha , Javier J. How , Tyler M. Tomita , Jayanta Dey , Ningyuan , Huang , Jong M. Shin , Kaleab Alemayehu Kinfu , Pratik Chaudhari , Ben Baker , Anna Schapiro , Dinesh Jayaraman , Eric Eaton , Michael Platt , Lyle Ungar , Leila Wehbe , Adam Kepecs , Amy Christensen , Onyema Osuagwu , Bing Brunton , Brett Mensh , Alysson R. Muotri , Gabriel Silva , Francesca Puppo , Florian Engert , Elizabeth Hillman , Julia Brown , Chris White , Weiwei Yang


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Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning



Yecheng Jason Ma , Andrew Shen , Osbert Bastani , Dinesh Jayaraman

* AAAI 2022 

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Probabilistic Modeling for Human Mesh Recovery



Nikos Kolotouros , Georgios Pavlakos , Dinesh Jayaraman , Kostas Daniilidis

* ICCV 2021. Project page: https://www.seas.upenn.edu/~nkolot/projects/prohmr 

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Know Thyself: Transferable Visuomotor Control Through Robot-Awareness



Edward S. Hu , Kun Huang , Oleh Rybkin , Dinesh Jayaraman

* Website: https://hueds.github.io/rac/ Updated typos 

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Conservative Offline Distributional Reinforcement Learning



Yecheng Jason Ma , Dinesh Jayaraman , Osbert Bastani


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Keyframe-Focused Visual Imitation Learning



Chuan Wen , Jierui Lin , Jianing Qian , Yang Gao , Dinesh Jayaraman

* 14 pages, 7 figures, ICML2021 

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