Deep Reinforcement and InfoMax Learning

12 June 2020

Bogdan Mazoure

Rémi Tachet des Combes

Papers citing "Deep Reinforcement and InfoMax Learning"

24 / 24 papers shown

Title
Towards Generalizable Reinforcement Learning via Causality-Guided Self-Adaptive Representations Yupei Yang Biwei Huang Fan Feng Xinyue Wang Shikui Tu Lei Xu CML OOD TTA 38 1 0 30 Jul 2024
Learning Temporal Distances: Contrastive Successor Features Can Provide a Metric Structure for Decision-Making Vivek Myers Chongyi Zheng Anca Dragan Sergey Levine Benjamin Eysenbach OffRL 45 7 0 24 Jun 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning Carlo DÉramo Davide Tateo Andrea Bonarini Marcello Restelli Jan Peters 56 122 0 17 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
Bigger, Better, Faster: Human-level Atari with human-level efficiency Max Schwarzer J. Obando-Ceron Aaron C. Courville Marc G. Bellemare Rishabh Agarwal P. S. Castro OffRL 43 82 0 30 May 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 42 10 0 25 May 2023
Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion Trevor A. McInroe K. Luck Josiah P. Hanna Stefano V. Albrecht OOD DRL 20 17 0 23 May 2023
Accelerating exploration and representation learning with offline pre-training Bogdan Mazoure Jake Bruce Doina Precup Rob Fergus Ankit Anand OffRL 31 5 0 31 Mar 2023
Rewards Encoding Environment Dynamics Improves Preference-based Reinforcement Learning Katherine Metcalf Miguel Sarabia B. Theobald OffRL 32 4 0 12 Nov 2022
Contrastive Value Learning: Implicit Models for Simple Offline RL Bogdan Mazoure Benjamin Eysenbach Ofir Nachum Jonathan Tompson SSL OffRL 33 7 0 03 Nov 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 25 14 0 27 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
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
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 84 145 0 28 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 27 31 0 10 Jun 2022
Learning List-wise Representation in Reinforcement Learning for Ads Allocation with Multiple Auxiliary Tasks Zehua Wang Guogang Liao Xiaowen Shi Xiaoxu Wu Chuheng Zhang Yongkang Wang Xingxing Wang Dong Wang OffRL 19 4 0 02 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 18 116 0 25 Mar 2022
Retrieval-Augmented Reinforcement Learning Anirudh Goyal A. Friesen Andrea Banino T. Weber Nan Rosemary Ke ... Michal Valko Simon Osindero Timothy Lillicrap N. Heess Charles Blundell OffRL 32 53 0 17 Feb 2022
CoBERL: Contrastive BERT for Reinforcement Learning Andrea Banino Adria Puidomenech Badia Jacob Walker Tim Scholtes Jovana Mitrović Charles Blundell OffRL 30 36 0 12 Jul 2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning Alessandro Sordoni Nouha Dziri Hannes Schulz Geoffrey J. Gordon Philip Bachman Rémi Tachet des Combes SSL 22 29 0 25 Jun 2021
Which Mutual-Information Representation Learning Objectives are Sufficient for Control? Kate Rakelly Abhishek Gupta Carlos Florensa Sergey Levine SSL 20 38 0 14 Jun 2021
PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning Tao Yu Cuiling Lan Wenjun Zeng Mingxiao Feng Zhizheng Zhang Zhibo Chen OffRL 20 46 0 08 Jun 2021
Representation Learning with Video Deep InfoMax R. Devon Hjelm Philip Bachman SSL MDE 21 28 0 27 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 323 11,681 0 09 Mar 2017