Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

20 July 2021

Papers citing "Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning"

48 / 248 papers shown

Title
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Jinyi Liu Yingfeng Chen Changjie Fan 77 12 0 02 Oct 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning Daesol Cho D. Shim H. J. Kim OffRL 42 11 0 30 Sep 2022
Mastering the Unsupervised Reinforcement Learning Benchmark from Pixels Sai Rajeswar Pietro Mazzaglia Tim Verbelen Alexandre Piché Bart Dhoedt Aaron C. Courville Alexandre Lacoste SSL 26 21 0 24 Sep 2022
Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective Raj Ghugare Homanga Bharadhwaj Benjamin Eysenbach Sergey Levine Ruslan Salakhutdinov OffRL 45 25 0 18 Sep 2022
Continuous MDP Homomorphisms and Homomorphic Policy Gradient S. Rezaei-Shoshtari Rosie Zhao Prakash Panangaden D. Meger Doina Precup 33 18 0 15 Sep 2022
Concept-modulated model-based offline reinforcement learning for rapid generalization Nicholas A. Ketz Praveen K. Pilly OffRL 24 1 0 07 Sep 2022
Learning Bellman Complete Representations for Offline Policy Evaluation Jonathan D. Chang Kaiwen Wang Nathan Kallus Wen Sun OffRL 27 14 0 12 Jul 2022
Stabilizing Off-Policy Deep Reinforcement Learning from Pixels Edoardo Cetin Philip J. Ball Steve Roberts Oya Celiktutan 30 36 0 03 Jul 2022
Watch and Match: Supercharging Imitation with Regularized Optimal Transport Siddhant Haldar Vaibhav Mathur Denis Yarats Lerrel Pinto 46 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 87 146 0 28 Jun 2022
DayDreamer: World Models for Physical Robot Learning Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 49 277 0 28 Jun 2022
Behavior Transformers: Cloning $k$ modes with one stone Nur Muhammad (Mahi) Shafiullah Zichen Jeff Cui Ariuntuya Altanzaya Lerrel Pinto OffRL 28 221 0 22 Jun 2022
Bootstrapped Transformer for Offline Reinforcement Learning Kerong Wang Hanye Zhao Xufang Luo Kan Ren Weinan Zhang Dongsheng Li OffRL 16 37 0 17 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning Benjamin Eysenbach Tianjun Zhang Ruslan Salakhutdinov Sergey Levine SSL OffRL 25 139 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
Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations Cong Lu Philip J. Ball Tim G. J. Rudner Jack Parker-Holder Michael A. Osborne Yee Whye Teh OffRL 29 52 0 09 Jun 2022
Overcoming the Spectral Bias of Neural Value Approximation Ge Yang Anurag Ajay Pulkit Agrawal 32 25 0 09 Jun 2022
Deep Hierarchical Planning from Pixels Danijar Hafner Kuang-Huei Lee Ian S. Fischer Pieter Abbeel 34 92 0 08 Jun 2022
On the Effectiveness of Fine-tuning Versus Meta-reinforcement Learning Mandi Zhao Pieter Abbeel Stephen James OffRL 28 33 0 07 Jun 2022
Image Augmentation Based Momentum Memory Intrinsic Reward for Sparse Reward Visual Scenes Zheng Fang Biao Zhao Guizhong Liu 16 2 0 19 May 2022
CCLF: A Contrastive-Curiosity-Driven Learning Framework for Sample-Efficient Reinforcement Learning Chenyu Sun Hangwei Qian C. Miao OffRL 24 12 0 02 May 2022
Offline Visual Representation Learning for Embodied Navigation Karmesh Yadav Ram Ramrakhya Arjun Majumdar Vincent-Pierre Berges Sachit Kuhar Dhruv Batra Alexei Baevski Oleksandr Maksymets OffRL SSL 33 72 0 27 Apr 2022
What Matters in Language Conditioned Robotic Imitation Learning over Unstructured Data Oier Mees Lukás Hermann Wolfram Burgard LM&Ro 30 149 0 13 Apr 2022
Reinforcement Learning with Action-Free Pre-Training from Videos Younggyo Seo Kimin Lee Stephen James Pieter Abbeel SSL OnRL 18 117 0 25 Mar 2022
SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning Jongjin Park Younggyo Seo Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 11 82 0 18 Mar 2022
Vision-Based Manipulators Need to Also See from Their Hands Kyle Hsu Moo Jin Kim Rafael Rafailov Jiajun Wu Chelsea Finn 29 44 0 15 Mar 2022
Temporal Difference Learning for Model Predictive Control Nicklas Hansen Xiaolong Wang H. Su PINN MU 36 222 0 09 Mar 2022
The Unsurprising Effectiveness of Pre-Trained Vision Models for Control Simone Parisi Aravind Rajeswaran Senthil Purushwalkam Abhinav Gupta LM&Ro 34 187 0 07 Mar 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction Masashi Okada T. Taniguchi 3DV OffRL 28 23 0 01 Mar 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning Che Wang Xufang Luo Keith Ross Dongsheng Li OffRL 26 49 0 17 Feb 2022
CIC: Contrastive Intrinsic Control for Unsupervised Skill Discovery Michael Laskin Hao Liu Xue Bin Peng Denis Yarats Aravind Rajeswaran Pieter Abbeel SSL 74 65 0 01 Feb 2022
Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control Aaron J. Havens Darioush Keivan Peter M. Seiler Geir Dullerud Bin Hu AAML 17 3 0 03 Jan 2022
Invariance Through Latent Alignment Takuma Yoneda Ge Yang Matthew R. Walter Bradly C. Stadie OOD 21 9 0 15 Dec 2021
The Surprising Effectiveness of Representation Learning for Visual Imitation Jyothish Pari Nur Muhammad (Mahi) Shafiullah Sridhar Pandian Arunachalam Lerrel Pinto SSL 25 156 0 02 Dec 2021
Maximum Entropy Model-based Reinforcement Learning Oleg Svidchenko A. Shpilman 11 5 0 02 Dec 2021
Learning State Representations via Retracing in Reinforcement Learning Changmin Yu Dong Li Jianye Hao Jun Wang Neil Burgess 27 7 0 24 Nov 2021
Off-policy Imitation Learning from Visual Inputs Zhihao Cheng Li Shen Dacheng Tao 17 2 0 08 Nov 2021
URLB: Unsupervised Reinforcement Learning Benchmark Michael Laskin Denis Yarats Hao Liu Kimin Lee Albert Zhan Kevin Lu Catherine Cang Lerrel Pinto Pieter Abbeel SSL OffRL 30 132 0 28 Oct 2021
DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations Fei Deng Ingook Jang Sungjin Ahn VLM 29 62 0 27 Oct 2021
Is High Variance Unavoidable in RL? A Case Study in Continuous Control Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 65 23 0 21 Oct 2021
Discovering and Achieving Goals via World Models Russell Mendonca Oleh Rybkin Kostas Daniilidis Danijar Hafner Deepak Pathak 27 117 0 18 Oct 2021
StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning Jinghuan Shang Kumara Kahatapitiya Xiang Li Michael S. Ryoo OffRL 35 33 0 12 Oct 2021
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan OffRL 42 16 0 07 Oct 2021
Pixyz: a Python library for developing deep generative models Masahiro Suzuki T. Kaneko Y. Matsuo AI4CE 23 2 0 28 Jul 2021
Towards Deeper Deep Reinforcement Learning with Spectral Normalization Johan Bjorck Carla P. Gomes Kilian Q. Weinberger 19 23 0 02 Jun 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 341 0 14 Sep 2020
On the Convergence of the Monte Carlo Exploring Starts Algorithm for Reinforcement Learning Che Wang Shuhan Yuan Kai Shao Keith Ross 8 12 0 10 Feb 2020
CrossQ: Batch Normalization in Deep Reinforcement Learning for Greater Sample Efficiency and Simplicity Aditya Bhatt Daniel Palenicek Boris Belousov Max Argus Artemij Amiranashvili Thomas Brox Jan Peters 29 43 0 14 Feb 2019