VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning

17 February 2022

Dongsheng Li

Papers citing "VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning"

50 / 90 papers shown

Title
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 80 0 0 19 Oct 2024
ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation Guanxing Lu Zifeng Gao Tianxing Chen Wen-Dao Dai Ziwei Wang Yansong Tang Yansong Tang DiffM 93 14 0 03 Jun 2024
CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations Xuzhe Dang Stefan Edelkamp 83 4 0 06 Nov 2023
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 54 72 0 17 Dec 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning Homer Walke Jonathan Yang Albert Yu Aviral Kumar Jedrzej Orbik Avi Singh Sergey Levine OffRL OnRL 53 31 0 11 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar Vaibhav Mathur Denis Yarats Lerrel Pinto 72 62 0 30 Jun 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 128 146 0 28 Jun 2022
CtrlFormer: Learning Transferable State Representation for Visual Control via Transformer Yao Mu Shoufa Chen Mingyu Ding Jianyu Chen Runjian Chen Ping Luo ViT 55 9 0 17 Jun 2022
Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels? Xiang Li Jinghuan Shang Srijan Das Michael S. Ryoo SSL 66 32 0 10 Jun 2022
Reinforcement Learning with Neural Radiance Fields Danny Driess Ingmar Schubert Peter R. Florence Yunzhu Li Marc Toussaint AI4CE 65 51 0 03 Jun 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Rameswar Panda OnRL 114 187 0 16 May 2022
Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation? Yuchen Cui S. Niekum Abhi Gupta Vikash Kumar Aravind Rajeswaran LM&Ro 54 76 0 23 Apr 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning Clare Lyle Mark Rowland Will Dabney CLL 59 111 0 20 Apr 2022
Semantic Exploration from Language Abstractions and Pretrained Representations Allison C. Tam Neil C. Rabinowitz Andrew Kyle Lampinen Nicholas A. Roy Stephanie C. Y. Chan D. Strouse Jane X. Wang Andrea Banino Felix Hill LM&Ro 75 68 0 08 Apr 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 59 111 0 05 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 62 119 0 25 Mar 2022
R3M: A Universal Visual Representation for Robot Manipulation Suraj Nair Aravind Rajeswaran Vikash Kumar Chelsea Finn Abhi Gupta LM&Ro 38 556 0 23 Mar 2022
Masked Visual Pre-training for Motor Control Tete Xiao Ilija Radosavovic Trevor Darrell Jitendra Malik SSL 64 243 0 11 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control Simone Parisi Aravind Rajeswaran Senthil Purushwalkam Abhinav Gupta LM&Ro 76 189 0 07 Mar 2022
Pessimistic Bootstrapping for Uncertainty-Driven Offline Reinforcement Learning Chenjia Bai Lingxiao Wang Zhuoran Yang Zhihong Deng Animesh Garg Peng Liu Zhaoran Wang OffRL 83 135 0 23 Feb 2022
Robotic Telekinesis: Learning a Robotic Hand Imitator by Watching Humans on Youtube Aravind Sivakumar Kenneth Shaw Deepak Pathak 138 101 0 21 Feb 2022
Don't Change the Algorithm, Change the Data: Exploratory Data for Offline Reinforcement Learning Denis Yarats David Brandfonbrener Hao Liu Michael Laskin Pieter Abbeel A. Lazaric Lerrel Pinto OffRL OnRL 53 85 0 31 Jan 2022
Can Wikipedia Help Offline Reinforcement Learning? Machel Reid Yutaro Yamada S. Gu 3DV RALM OffRL 172 95 0 28 Jan 2022
Understanding the World Through Action Sergey Levine SSL OffRL 31 19 0 24 Oct 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 249 874 0 12 Oct 2021
Learning to Navigate Sidewalks in Outdoor Environments Maks Sorokin Jie Tan Karen Liu Sehoon Ha 28 40 0 12 Sep 2021
Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning Denis Yarats Rob Fergus A. Lazaric Lerrel Pinto OffRL 46 344 0 20 Jul 2021
RRL: Resnet as representation for Reinforcement Learning Rutav Shah Vikash Kumar OffRL 47 112 0 07 Jul 2021
Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble Seunghyun Lee Younggyo Seo Kimin Lee Pieter Abbeel Jinwoo Shin OffRL OnRL 30 186 0 01 Jul 2021
A Minimalist Approach to Offline Reinforcement Learning Scott Fujimoto S. Gu OffRL 89 804 0 12 Jun 2021
Pretraining Representations for Data-Efficient Reinforcement Learning Max Schwarzer Nitarshan Rajkumar Michael Noukhovitch Ankesh Anand Laurent Charlin Devon Hjelm Philip Bachman Aaron Courville OffRL 56 114 0 09 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 95 665 0 03 Jun 2021
Decision Transformer: Reinforcement Learning via Sequence Modeling Lili Chen Kevin Lu Aravind Rajeswaran Kimin Lee Aditya Grover Michael Laskin Pieter Abbeel A. Srinivas Igor Mordatch OffRL 77 1,608 0 02 Jun 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 29 23 0 02 Jun 2021
Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning Yue Wu Shuangfei Zhai Nitish Srivastava J. Susskind Jian Zhang Ruslan Salakhutdinov Hanlin Goh EDL OffRL OnRL 35 184 0 17 May 2021
Training Larger Networks for Deep Reinforcement Learning Keita Ota Devesh K. Jha Asako Kanezaki OffRL 54 39 0 16 Feb 2021
Representation Matters: Offline Pretraining for Sequential Decision Making Mengjiao Yang Ofir Nachum SSL OffRL 57 119 0 11 Feb 2021
Reinforcement Learning with Latent Flow Wenling Shang Xiaofei Wang A. Srinivas Aravind Rajeswaran Yang Gao Pieter Abbeel Michael Laskin OffRL 39 23 0 06 Jan 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 333 343 0 14 Sep 2020
Phasic Policy Gradient K. Cobbe Jacob Hilton Oleg Klimov John Schulman OffRL 32 155 0 09 Sep 2020
Model-Based Offline Planning Arthur Argenson Gabriel Dulac-Arnold OffRL 45 152 0 12 Aug 2020
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 258 120 0 21 Jul 2020
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning Kimin Lee Michael Laskin A. Srinivas Pieter Abbeel OffRL 35 201 0 09 Jul 2020
Bidirectional Model-based Policy Optimization Hang Lai Jian Shen Weinan Zhang Yong Yu 29 57 0 04 Jul 2020
The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning Lingheng Meng R. Gorbet Dana Kulic OffRL 37 27 0 23 Jun 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 81 469 0 18 Jun 2020
AWAC: Accelerating Online Reinforcement Learning with Offline Datasets Ashvin Nair Abhishek Gupta Murtaza Dalal Sergey Levine OffRL OnRL 73 601 0 16 Jun 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 265 6,718 0 13 Jun 2020
Maximum Entropy Model Rollouts: Fast Model Based Policy Optimization without Compounding Errors Chi Zhang S. Kuppannagari Viktor Prasanna 22 4 0 08 Jun 2020
Conservative Q-Learning for Offline Reinforcement Learning Aviral Kumar Aurick Zhou George Tucker Sergey Levine OffRL OnRL 91 1,780 0 08 Jun 2020