Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning

30 April 2020

Bilal Piot

Papers citing "Bootstrap Latent-Predictive Representations for Multitask Reinforcement Learning"

31 / 31 papers shown

Title
Unsupervised Representation Learning by Balanced Self Attention Matching Daniel Shalam Simon Korman SSL 33 0 0 04 Aug 2024
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
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 17 20 0 17 Jan 2024
Ever Evolving Evaluator (EV3): Towards Flexible and Reliable Meta-Optimization for Knowledge Distillation Li Ding M. Zoghi Guy Tennenholtz Maryam Karimzadehgan 18 0 0 29 Oct 2023
Representation Learning for Sequential Volumetric Design Tasks Md Ferdous Alam Yi Wang Linh Tran Chin-Yi Cheng Jieliang Luo 3DV 25 2 0 05 Sep 2023
GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training Xi Deng Han Shi Runhu Huang Changlin Li Hang Xu Jianhua Han James T. Kwok Shen Zhao Wei Zhang Xiaodan Liang CLIP VLM 29 3 0 22 Aug 2023
Towards a Better Understanding of Representation Dynamics under TD-learning Yunhao Tang Rémi Munos OffRL 21 1 0 29 May 2023
ENTL: Embodied Navigation Trajectory Learner Klemen Kotar Aaron Walsman Roozbeh Mottaghi 15 6 0 05 Apr 2023
Deep Occupancy-Predictive Representations for Autonomous Driving Eivind Meyer Lars Frederik Peiss Matthias Althoff 31 3 0 07 Mar 2023
A General Purpose Supervisory Signal for Embodied Agents Kunal Pratap Singh Jordi Salvador Luca Weihs Aniruddha Kembhavi SSL 21 3 0 01 Dec 2022
VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement Erik Wijmans Irfan Essa Dhruv Batra OffRL 28 13 0 11 Oct 2022
Pretraining the Vision Transformer using self-supervised methods for vision based Deep Reinforcement Learning Manuel Goulão Arlindo L. Oliveira ViT 33 6 0 22 Sep 2022
Dynamic Memory-based Curiosity: A Bootstrap Approach for Exploration Zijian Gao Yiying Li Kele Xu Yuanzhao Zhai Dawei Feng Bo Ding Xinjun Mao Huaimin Wang 25 0 0 24 Aug 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 67 0 16 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 23 137 0 15 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
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning Zixin Wen Yuanzhi Li SSL 27 34 0 12 May 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
Automated Progressive Learning for Efficient Training of Vision Transformers Changlin Li Bohan Zhuang Guangrun Wang Xiaodan Liang Xiaojun Chang Yi Yang 20 46 0 28 Mar 2022
Abstraction for Deep Reinforcement Learning Murray Shanahan Melanie Mitchell OffRL 27 28 0 10 Feb 2022
Bootstrap Equilibrium and Probabilistic Speaker Representation Learning for Self-supervised Speaker Verification Sung Hwan Mun Min Hyun Han Dongjune Lee Jihwan Kim N. Kim SSL 20 3 0 16 Dec 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 24 62 0 27 Oct 2021
Bootstrapped Meta-Learning Sebastian Flennerhag Yannick Schroecker Tom Zahavy Hado van Hasselt David Silver Satinder Singh 23 58 0 09 Sep 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
MICo: Improved representations via sampling-based state similarity for Markov decision processes P. S. Castro Tyler Kastner Prakash Panangaden Mark Rowland 23 35 0 03 Jun 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data Yonglong Tian Olivier J. Hénaff Aaron van den Oord SSL 51 96 0 17 May 2021
Broaden Your Views for Self-Supervised Video Learning Adrià Recasens Pauline Luc Jean-Baptiste Alayrac Luyu Wang Ross Hemsley ... Florent Altché M. Valko Jean-Bastien Grill Aaron van den Oord Andrew Zisserman SSL AI4TS 23 127 0 30 Mar 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 17 56 0 19 Feb 2021
How to Train PointGoal Navigation Agents on a (Sample and Compute) Budget Erik Wijmans Irfan Essa Dhruv Batra 3DPC 17 10 0 11 Dec 2020
Bootstrap your own latent: A new approach to self-supervised Learning Jean-Bastien Grill Florian Strub Florent Altché Corentin Tallec Pierre Harvey Richemond ... M. G. Azar Bilal Piot Koray Kavukcuoglu Rémi Munos Michal Valko SSL 57 6,643 0 13 Jun 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 308 11,681 0 09 Mar 2017