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Simple Emergent Action Representations from Multi-Task Policy Training

18 October 2022

Papers citing "Simple Emergent Action Representations from Multi-Task Policy Training"

24 / 24 papers shown

Title
Pre-Trained Image Encoder for Generalizable Visual Reinforcement Learning Zhecheng Yuan Zhengrong Xue Bo Yuan Xueqian Wang Yi Wu Yang Gao Huazhe Xu SSL OffRL 88 73 0 17 Dec 2022
R3M: A Universal Visual Representation for Robot Manipulation Suraj Nair Aravind Rajeswaran Vikash Kumar Chelsea Finn Abhi Gupta LM&Ro 101 584 0 23 Mar 2022
Masked Visual Pre-training for Motor Control Tete Xiao Ilija Radosavovic Trevor Darrell Jitendra Malik SSL 105 250 0 11 Mar 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 467 7,819 0 11 Nov 2021
APS: Active Pretraining with Successor Features Hao Liu Pieter Abbeel 95 122 0 31 Aug 2021
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning Adrien Bardes Jean Ponce Yann LeCun SSL DML 153 944 0 11 May 2021
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 63 34 0 10 Nov 2020
Offline Meta-Reinforcement Learning with Advantage Weighting E. Mitchell Rafael Rafailov Xue Bin Peng Sergey Levine Chelsea Finn OffRL 84 108 0 13 Aug 2020
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations Alexei Baevski Henry Zhou Abdel-rahman Mohamed Michael Auli SSL 295 5,837 0 20 Jun 2020
Shared Autonomy with Learned Latent Actions Hong Jun Jeon Dylan P. Losey Dorsa Sadigh 69 79 0 07 May 2020
CURL: Contrastive Unsupervised Representations for Reinforcement Learning A. Srinivas Michael Laskin Pieter Abbeel SSL DRL OffRL 91 1,091 0 08 Apr 2020
Gradient Surgery for Multi-Task Learning Tianhe Yu Saurabh Kumar Abhishek Gupta Sergey Levine Karol Hausman Chelsea Finn 178 1,228 0 19 Jan 2020
Learning Action Representations for Reinforcement Learning Yash Chandak Georgios Theocharous James E. Kostas Scott M. Jordan Philip S. Thomas 56 163 0 01 Feb 2019
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 65 210 0 16 Oct 2018
Multi-task Deep Reinforcement Learning with PopArt Matteo Hessel Hubert Soyer L. Espeholt Wojciech M. Czarnecki Simon Schmitt H. V. Hasselt 132 319 0 12 Sep 2018
Do Better ImageNet Models Transfer Better? Simon Kornblith Jonathon Shlens Quoc V. Le OOD MLT 170 1,329 0 23 May 2018
Imitating Latent Policies from Observation Ashley D. Edwards Himanshu Sahni Yannick Schroecker Charles Isbell 80 138 0 21 May 2018
Evolved Policy Gradients Rein Houthooft Richard Y. Chen Phillip Isola Bradly C. Stadie Filip Wolski Jonathan Ho Pieter Abbeel 98 227 0 13 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 317 8,406 0 04 Jan 2018
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics Alex Kendall Y. Gal R. Cipolla 3DH 272 3,135 0 19 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 827 11,943 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 97 983 0 17 Nov 2016
Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images Manuel Watter Jost Tobias Springenberg Joschka Boedecker Martin Riedmiller BDL 85 847 0 24 Jun 2015
Representation Learning: A Review and New Perspectives Yoshua Bengio Aaron Courville Pascal Vincent OOD SSL 274 12,458 0 24 Jun 2012