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Interesting Object, Curious Agent: Learning Task-Agnostic Exploration


Nov 25, 2021
Simone Parisi, Victoria Dean, Deepak Pathak, Abhinav Gupta

* Accepted at NeurIPS 2021 

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A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation


Nov 09, 2021
Bernardo Aceituno, Alberto Rodriguez, Shubham Tulsiani, Abhinav Gupta, Mustafa Mukadam

* Presented at CORL 2021 

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ReSkin: versatile, replaceable, lasting tactile skins


Oct 29, 2021
Raunaq Bhirangi, Tess Hellebrekers, Carmel Majidi, Abhinav Gupta

* CoRL 2021. Project Website: https://reskin.dev . First two authors contributed equally 

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Dynamic population-based meta-learning for multi-agent communication with natural language


Oct 27, 2021
Abhinav Gupta, Marc Lanctot, Angeliki Lazaridou

* Accepted at NeurIPS 2021 

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No RL, No Simulation: Learning to Navigate without Navigating


Oct 22, 2021
Meera Hahn, Devendra Chaplot, Shubham Tulsiani, Mustafa Mukadam, James M. Rehg, Abhinav Gupta


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CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents


Oct 19, 2021
Sam Powers, Eliot Xing, Eric Kolve, Roozbeh Mottaghi, Abhinav Gupta

* Repository available at https://github.com/AGI-Labs/continual_rl 

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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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Wanderlust: Online Continual Object Detection in the Real World


Sep 07, 2021
Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta

* ICCV 2021 

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The Functional Correspondence Problem


Sep 02, 2021
Zihang Lai, Senthil Purushwalkam, Abhinav Gupta

* Accepted to ICCV 2021 

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Hierarchical Neural Dynamic Policies


Jul 12, 2021
Shikhar Bahl, Abhinav Gupta, Deepak Pathak

* Accepted at RSS 2021. Videos and code at https://shikharbahl.github.io/hierarchical-ndps/ 

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Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System


May 23, 2021
Linyu Lin, Paridhi Athe, Pascal Rouxelin, Maria Avramova, Abhinav Gupta, Robert Youngblood, Nam Dinh

* 44 pages, 20 figures 

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DeepMPCVS: Deep Model Predictive Control for Visual Servoing


May 03, 2021
Pushkal Katara, Y V S Harish, Harit Pandya, Abhinav Gupta, Aadil Mehdi Sanchawala, Gourav Kumar, Brojeshwar Bhowmick, Madhava Krishna K

* 4th Annual Conference on Robot Learning, CoRL 2020, Cambridge, MA, USA, November 16 - November 18, 2020 
* Accepted at 4th Annual Conference on Robot Learning, CoRL 2020, Cambridge, MA, USA, November 16 - November 18, 2020 

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Learn-to-Race: A Multimodal Control Environment for Autonomous Racing


Mar 31, 2021
James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg

* 15 pages, 5 figures 

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PixelTransformer: Sample Conditioned Signal Generation


Mar 29, 2021
Shubham Tulsiani, Abhinav Gupta

* Project page: https://shubhtuls.github.io/PixelTransformer/ 

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Shelf-Supervised Mesh Prediction in the Wild


Feb 11, 2021
Yufei Ye, Shubham Tulsiani, Abhinav Gupta


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droidlet: modular, heterogenous, multi-modal agents


Jan 25, 2021
Anurag Pratik, Soumith Chintala, Kavya Srinet, Dhiraj Gandhi, Rebecca Qian, Yuxuan Sun, Ryan Drew, Sara Elkafrawy, Anoushka Tiwari, Tucker Hart, Mary Williamson, Abhinav Gupta, Arthur Szlam


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Where2Act: From Pixels to Actions for Articulated 3D Objects


Jan 07, 2021
Kaichun Mo, Leonidas Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani


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Audio-Visual Floorplan Reconstruction


Dec 31, 2020
Senthil Purushwalkam, Sebastian Vicenc Amengual Gari, Vamsi Krishna Ithapu, Carl Schissler, Philip Robinson, Abhinav Gupta, Kristen Grauman


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Neural Closure Models for Dynamical Systems


Dec 27, 2020
Abhinav Gupta, Pierre F. J. Lermusiaux

* 30 pages, 12 figures, 3 tables, 5 pages of supplementary information 

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KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA


Dec 20, 2020
Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach


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Neural Dynamic Policies for End-to-End Sensorimotor Learning


Dec 04, 2020
Shikhar Bahl, Mustafa Mukadam, Abhinav Gupta, Deepak Pathak

* NeurIPS 2020 (Spotlight). Code and videos at https://shikharbahl.github.io/neural-dynamic-policies/ 

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Same Object, Different Grasps: Data and Semantic Knowledge for Task-Oriented Grasping


Nov 13, 2020
Adithyavairavan Murali, Weiyu Liu, Kenneth Marino, Sonia Chernova, Abhinav Gupta

* Accepted to Conference on Robot Learning (CoRL) 2020 

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Transformers for One-Shot Visual Imitation


Nov 11, 2020
Sudeep Dasari, Abhinav Gupta

* For code and project video please check our website: https://oneshotfeatures.github.io/ 

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Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning


Nov 01, 2020
Valerie Chen, Abhinav Gupta, Kenneth Marino


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Visual Imitation Made Easy


Aug 11, 2020
Sarah Young, Dhiraj Gandhi, Shubham Tulsiani, Abhinav Gupta, Pieter Abbeel, Lerrel Pinto


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Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases


Jul 29, 2020
Senthil Purushwalkam, Abhinav Gupta


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