Which Mutual-Information Representation Learning Objectives are
Sufficient for Control?

Which Mutual-Information Representation Learning Objectives are Sufficient for Control?

14 June 2021

Abhishek Gupta

Carlos Florensa

Papers citing "Which Mutual-Information Representation Learning Objectives are Sufficient for Control?"

12 / 12 papers shown

Title
Information-Theoretic State Variable Selection for Reinforcement Learning Charles Westphal Stephen Hailes Mirco Musolesi 26 3 0 21 Jan 2024
Bridging State and History Representations: Understanding Self-Predictive RL Tianwei Ni Benjamin Eysenbach Erfan Seyedsalehi Michel Ma Clement Gehring Aditya Mahajan Pierre-Luc Bacon AI4TS AI4CE 22 20 0 17 Jan 2024
Disentangled (Un)Controllable Features Jacob E. Kooi Mark Hoogendoorn Vincent François-Lavet DRL 24 0 0 31 Oct 2022
Learning on the Job: Self-Rewarding Offline-to-Online Finetuning for Industrial Insertion of Novel Connectors from Vision Ashvin Nair Brian Zhu Gokul Narayanan Eugen Solowjow Sergey Levine OffRL OnRL 28 14 0 27 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale Kuang-Huei Lee Ted Xiao A. Li Paul Wohlhart Ian S. Fischer Yao Lu 48 10 0 15 Oct 2022
A Comprehensive Survey of Data Augmentation in Visual Reinforcement Learning Guozheng Ma Zhen Wang Zhecheng Yuan Xueqian Wang Bo Yuan Dacheng Tao OffRL 35 26 0 10 Oct 2022
Entropy-driven Unsupervised Keypoint Representation Learning in Videos A. Younes Simone Schaub-Meyer Georgia Chalvatzaki SSL 33 0 0 30 Sep 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models Alex Lamb Riashat Islam Yonathan Efroni Aniket Didolkar Dipendra Kumar Misra Dylan J. Foster Lekan Molu Rajan Chari A. Krishnamurthy John Langford 41 24 0 17 Jul 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 139 0 15 Jun 2022
Discovering Intrinsic Reward with Contrastive Random Walk Zixuan Pan Zihao Wei Yidong Huang Aditya Gupta 15 0 0 23 Apr 2022
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 341 0 14 Sep 2020
Predictive Coding for Locally-Linear Control Rui Shu Tung D. Nguyen Yinlam Chow Tu Pham Khoat Than Mohammad Ghavamzadeh Stefano Ermon Hung Bui OffRL BDL 34 24 0 02 Mar 2020