PolyTask: Learning Unified Policies through Behavior Distillation

12 October 2023

Papers citing "PolyTask: Learning Unified Policies through Behavior Distillation"

21 / 21 papers shown

Title
Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence? Arjun Majumdar Karmesh Yadav Sergio Arnaud Yecheng Jason Ma Claire Chen ... Dhruv Batra Yixin Lin Oleksandr Maksymets Aravind Rajeswaran Franziska Meier LM&Ro 63 184 0 31 Mar 2023
Lifelong Inverse Reinforcement Learning Jorge Armando Mendez Mendez S. Shivkumar Eric Eaton OffRL CLL 82 19 0 01 Jul 2022
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes Alexander Kolesnikov André Susano Pinto Lucas Beyer Xiaohua Zhai Jeremiah Harmsen N. Houlsby 158 71 0 20 May 2022
A Generalist Agent Scott E. Reed Konrad Zolna Emilio Parisotto Sergio Gomez Colmenarejo Alexander Novikov ... Yutian Chen R. Hadsell Oriol Vinyals Mahyar Bordbar Nando de Freitas LM&Ro LLMAG AI4CE 211 824 0 12 May 2022
Jump-Start Reinforcement Learning Ikechukwu Uchendu Ted Xiao Yao Lu Banghua Zhu Mengyuan Yan ... Chuyuan Fu Cong Ma Jiantao Jiao Sergey Levine Karol Hausman OffRL OnRL 84 114 0 05 Apr 2022
RvS: What is Essential for Offline RL via Supervised Learning? Scott Emmons Benjamin Eysenbach Ilya Kostrikov Sergey Levine OffRL 77 183 0 20 Dec 2021
Recent Advances of Continual Learning in Computer Vision: An Overview Haoxuan Qu Hossein Rahmani Li Xu Bryan M. Williams Jun Liu VLM CLL 115 77 0 23 Sep 2021
OPIRL: Sample Efficient Off-Policy Inverse Reinforcement Learning via Distribution Matching Hanako Hoshino Keita Ota Asako Kanezaki Rio Yokota OffRL OOD 51 19 0 09 Sep 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 106 350 0 20 Jul 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale Dmitry Kalashnikov Jacob Varley Yevgen Chebotar Benjamin Swanson Rico Jonschkowski Chelsea Finn Sergey Levine Karol Hausman OffRL 112 280 0 16 Apr 2021
Knowledge Transfer in Multi-Task Deep Reinforcement Learning for Continuous Control Zhiyuan Xu Kun Wu Zhengping Che Jian Tang Jieping Ye CLL OffRL 55 49 0 15 Oct 2020
MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers Wenhui Wang Furu Wei Li Dong Hangbo Bao Nan Yang Ming Zhou VLM 176 1,282 0 25 Feb 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 184 1,228 0 19 Jan 2020
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,316 0 27 Aug 2019
Unified Language Model Pre-training for Natural Language Understanding and Generation Li Dong Nan Yang Wenhui Wang Furu Wei Xiaodong Liu Yu Wang Jianfeng Gao M. Zhou H. Hon ELM AI4CE 227 1,560 0 08 May 2019
Neural Ordinary Differential Equations T. Chen Yulia Rubanova J. Bettencourt David Duvenaud AI4CE 443 5,157 0 19 Jun 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 150 1,143 0 02 Jan 2018
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 162 3,782 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 308 4,432 0 29 Jun 2016
Progressive Neural Networks Andrei A. Rusu Neil C. Rabinowitz Guillaume Desjardins Hubert Soyer J. Kirkpatrick Koray Kavukcuoglu Razvan Pascanu R. Hadsell CLL AI4CE 81 2,464 0 15 Jun 2016
Policy Distillation Andrei A. Rusu Sergio Gomez Colmenarejo Çağlar Gülçehre Guillaume Desjardins J. Kirkpatrick Razvan Pascanu Volodymyr Mnih Koray Kavukcuoglu R. Hadsell 100 695 0 19 Nov 2015