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Decision Transformer: Reinforcement Learning via Sequence Modeling

Jun 24, 2021
Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch

* First two authors contributed equally. Last two authors advised equally 

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VideoGPT: Video Generation using VQ-VAE and Transformers

Apr 20, 2021
Wilson Yan, Yunzhi Zhang, Pieter Abbeel, Aravind Srinivas

* Project website: 

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Scaling Local Self-Attention for Parameter Efficient Visual Backbones

Mar 30, 2021
Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake Hechtman, Jonathon Shlens

* CVPR 2021 Oral 

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Revisiting ResNets: Improved Training and Scaling Strategies

Mar 13, 2021
Irwan Bello, William Fedus, Xianzhi Du, Ekin D. Cubuk, Aravind Srinivas, Tsung-Yi Lin, Jonathon Shlens, Barret Zoph

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Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

Mar 04, 2021
Lili Chen, Kimin Lee, Aravind Srinivas, Pieter Abbeel

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Bottleneck Transformers for Visual Recognition

Jan 27, 2021
Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani

* Technical Report, 20 pages, 13 figures, 19 tables 

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Reinforcement Learning with Latent Flow

Jan 06, 2021
Wenling Shang, Xiaofei Wang, Aravind Srinivas, Aravind Rajeswaran, Yang Gao, Pieter Abbeel, Michael Laskin

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Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation

Dec 13, 2020
Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph

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D2RL: Deep Dense Architectures in Reinforcement Learning

Oct 19, 2020
Samarth Sinha, Homanga Bharadhwaj, Aravind Srinivas, Animesh Garg

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Evaluating Self-Supervised Pretraining Without Using Labels

Sep 16, 2020
Colorado Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer

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SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Jul 09, 2020
Kimin Lee, Michael Laskin, Aravind Srinivas, Pieter Abbeel

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Reinforcement Learning with Augmented Data

May 11, 2020
Michael Laskin, Kimin Lee, Adam Stooke, Lerrel Pinto, Pieter Abbeel, Aravind Srinivas

* First two authors contributed equally, website: code: and 

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CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Apr 28, 2020
Aravind Srinivas, Michael Laskin, Pieter Abbeel

* First two authors contributed equally, website: code: 

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Flow++: Improving Flow-Based Generative Models with Variational Dequantization and Architecture Design

Feb 01, 2019
Jonathan Ho, Xi Chen, Aravind Srinivas, Yan Duan, Pieter Abbeel

* 16 pages 

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Universal Planning Networks

Apr 04, 2018
Aravind Srinivas, Allan Jabri, Pieter Abbeel, Sergey Levine, Chelsea Finn

* Videos available at 

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