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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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Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning


Nov 04, 2021
Wenlong Huang, Igor Mordatch, Pieter Abbeel, Deepak Pathak

* Website at https://huangwl18.github.io/geometry-dex 

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Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives


Oct 28, 2021
Murtaza Dalal, Deepak Pathak, Ruslan Salakhutdinov

* Published at NeurIPS 2021. Website at https://mihdalal.github.io/raps/ 

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Minimizing Energy Consumption Leads to the Emergence of Gaits in Legged Robots


Oct 25, 2021
Zipeng Fu, Ashish Kumar, Jitendra Malik, Deepak Pathak

* CoRL 2021. Website at https://energy-locomotion.github.io 

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Discovering and Achieving Goals via World Models


Oct 18, 2021
Russell Mendonca, Oleh Rybkin, Kostas Daniilidis, Danijar Hafner, Deepak Pathak

* NeurIPS 2021. First two authors contributed equally. Website at https://orybkin.github.io/lexa/ 

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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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RMA: Rapid Motor Adaptation for Legged Robots


Jul 08, 2021
Ashish Kumar, Zipeng Fu, Deepak Pathak, Jitendra Malik

* RSS 2021. Webpage at https://ashish-kmr.github.io/rma-legged-robots/ 

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Unsupervised Learning of Visual 3D Keypoints for Control


Jun 14, 2021
Boyuan Chen, Pieter Abbeel, Deepak Pathak

* Accepted at ICML 2021. Videos and code at https://buoyancy99.github.io/unsup-3d-keypoints/ 

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Auto-Tuned Sim-to-Real Transfer


Apr 15, 2021
Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak

* ICRA 2021. First two authors contributed equally. Website at https://yuqingd.github.io/autotuned-sim2real/ 

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Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image


Dec 17, 2020
Ronghang Hu, Deepak Pathak

* Videos and code on the project page at https://worldsheet.github.io 

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FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation


Dec 15, 2020
Tarun Kalluri, Deepak Pathak, Manmohan Chandraker, Du Tran

* Project webpage: https://tarun005.github.io/FLAVR/ 

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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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Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion


Sep 18, 2020
Tianyu Li, Roberto Calandra, Deepak Pathak, Yuandong Tian, Franziska Meier, Akshara Rai


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Learning Long-term Visual Dynamics with Region Proposal Interaction Networks


Aug 05, 2020
Haozhi Qi, Xiaolong Wang, Deepak Pathak, Yi Ma, Jitendra Malik

* Code: https://github.com/HaozhiQi/RPIN; Website: https://haozhiqi.github.io/RPIN/ 

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One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control


Jul 09, 2020
Wenlong Huang, Igor Mordatch, Deepak Pathak

* Accepted at ICML 2020. Videos and code at https://huangwl18.github.io/modular-rl/ 

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Locally Masked Convolution for Autoregressive Models


Jun 27, 2020
Ajay Jain, Pieter Abbeel, Deepak Pathak

* Published at Conference on Uncertainty in AI (UAI) 2020 

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Planning to Explore via Self-Supervised World Models


May 12, 2020
Ramanan Sekar, Oleh Rybkin, Kostas Daniilidis, Pieter Abbeel, Danijar Hafner, Deepak Pathak

* Videos and code at https://ramanans1.github.io/plan2explore/ 

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Sparse Graphical Memory for Robust Planning


Mar 13, 2020
Michael Laskin, Scott Emmons, Ajay Jain, Thanard Kurutach, Pieter Abbeel, Deepak Pathak

* Video and code at https://mishalaskin.github.io/sgm/ 

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Third-Person Visual Imitation Learning via Decoupled Hierarchical Controller


Nov 21, 2019
Pratyusha Sharma, Deepak Pathak, Abhinav Gupta

* Accepted at NeurIPS 2019. Videos at https://pathak22.github.io/hierarchical-imitation/ 

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Self-Supervised Exploration via Disagreement


Jun 10, 2019
Deepak Pathak, Dhiraj Gandhi, Abhinav Gupta

* Accepted at ICML 2019. Website at https://pathak22.github.io/exploration-by-disagreement/ 

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Learning to Control Self-Assembling Morphologies: A Study of Generalization via Modularity


Feb 14, 2019
Deepak Pathak, Chris Lu, Trevor Darrell, Phillip Isola, Alexei A. Efros

* Website at https://pathak22.github.io/modular-assemblies/ 

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Toward Multimodal Image-to-Image Translation


Oct 24, 2018
Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman

* NIPS 2017 Final paper. v4 updated acknowledgment. Website: https://junyanz.github.io/BicycleGAN/ 

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Compositional GAN: Learning Conditional Image Composition


Aug 23, 2018
Samaneh Azadi, Deepak Pathak, Sayna Ebrahimi, Trevor Darrell


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Large-Scale Study of Curiosity-Driven Learning


Aug 13, 2018
Yuri Burda, Harri Edwards, Deepak Pathak, Amos Storkey, Trevor Darrell, Alexei A. Efros

* First three authors contributed equally and ordered alphabetically. Website at https://pathak22.github.io/large-scale-curiosity/ 

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Investigating Human Priors for Playing Video Games


Jul 25, 2018
Rachit Dubey, Pulkit Agrawal, Deepak Pathak, Thomas L. Griffiths, Alexei A. Efros

* ICML 2018 
* ICML 2018 

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Learning Instance Segmentation by Interaction


Jun 21, 2018
Deepak Pathak, Yide Shentu, Dian Chen, Pulkit Agrawal, Trevor Darrell, Sergey Levine, Jitendra Malik

* Website at https://pathak22.github.io/seg-by-interaction/ 

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Zero-Shot Visual Imitation


Apr 23, 2018
Deepak Pathak, Parsa Mahmoudieh, Guanghao Luo, Pulkit Agrawal, Dian Chen, Yide Shentu, Evan Shelhamer, Jitendra Malik, Alexei A. Efros, Trevor Darrell

* Oral presentation at ICLR 2018. Website at https://pathak22.github.io/zeroshot-imitation/ 

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