Stabilizing Off-Policy Deep Reinforcement Learning from Pixels

3 July 2022

Papers citing "Stabilizing Off-Policy Deep Reinforcement Learning from Pixels"

28 / 28 papers shown

Title
Uncovering RL Integration in SSL Loss: Objective-Specific Implications for Data-Efficient RL Ömer Veysel Çağatan Barış Akgün OffRL 34 0 0 22 Oct 2024
MENTOR: Mixture-of-Experts Network with Task-Oriented Perturbation for Visual Reinforcement Learning Suning Huang Zheyu Zhang Tianhai Liang Yihan Xu Zhehao Kou Chenhao Lu Guowei Xu Zhengrong Xue Huazhe Xu MoE 44 2 0 19 Oct 2024
Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations Bryan Chan Anson Leung James Bergstra OffRL OnRL 52 0 0 19 Oct 2024
Generalizing Consistency Policy to Visual RL with Prioritized Proximal Experience Regularization Haoran Li Zhennan Jiang Yuhui Chen Dongbin Zhao OffRL 21 2 0 28 Sep 2024
Observe Then Act: Asynchronous Active Vision-Action Model for Robotic Manipulation Guokang Wang Hang Li Shuyuan Zhang Di Guo Huaping Liu Huaping Liu 48 1 0 23 Sep 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 26 8 0 24 May 2024
Reinforcement Learning from Delayed Observations via World Models Armin Karamzade Kyungmin Kim Montek Kalsi Roy Fox 35 4 0 18 Mar 2024
In value-based deep reinforcement learning, a pruned network is a good network J. Obando-Ceron Aaron C. Courville Pablo Samuel Castro OffRL 36 18 0 19 Feb 2024
An Invitation to Deep Reinforcement Learning Bernhard Jaeger Andreas Geiger OffRL OOD 73 5 0 13 Dec 2023
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization Guowei Xu Ruijie Zheng Yongyuan Liang Xiyao Wang Zhecheng Yuan ... Shuzhen Li Yanjie Ze Hal Daumé Furong Huang Huazhe Xu 34 27 0 30 Oct 2023
Mind the Model, Not the Agent: The Primacy Bias in Model-based RL Zhongjian Qiao Jiafei Lyu Xiu Li 16 3 0 23 Oct 2023
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages Guozheng Ma Lu Li Sen Zhang Zixuan Liu Zhen Wang Yixin Chen Li Shen Xueqian Wang Dacheng Tao OffRL 45 15 0 11 Oct 2023
Decomposing the Generalization Gap in Imitation Learning for Visual Robotic Manipulation Annie Xie Lisa Lee Ted Xiao Chelsea Finn 21 54 0 07 Jul 2023
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Ruijie Zheng Xiyao Wang Yanchao Sun Shuang Ma Jieyu Zhao Huazhe Xu Hal Daumé Furong Huang 43 35 0 22 Jun 2023
PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning Hojoon Lee Hanseul Cho Hyunseung Kim Daehoon Gwak Joonkee Kim Jaegul Choo Se-Young Yun Chulhee Yun OffRL 76 25 0 19 Jun 2023
On the Importance of Feature Decorrelation for Unsupervised Representation Learning in Reinforcement Learning Hojoon Lee Ko-tik Lee Dongyoon Hwang Hyunho Lee ByungKun Lee Jaegul Choo SSL OOD 11 5 0 09 Jun 2023
For SALE: State-Action Representation Learning for Deep Reinforcement Learning Scott Fujimoto Wei-Di Chang Edward James Smith S. Gu Doina Precup D. Meger OffRL 23 44 0 04 Jun 2023
Active Vision Reinforcement Learning under Limited Visual Observability Jinghuan Shang Michael S. Ryoo 32 0 0 01 Jun 2023
RLAD: Reinforcement Learning from Pixels for Autonomous Driving in Urban Environments Daniel Coelho Miguel Oliveira Vítor M. F. Santos 25 3 0 29 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 38 10 0 25 May 2023
Efficient Deep Reinforcement Learning Requires Regulating Overfitting Qiyang Li Aviral Kumar Ilya Kostrikov Sergey Levine OffRL 16 30 0 20 Apr 2023
CASOG: Conservative Actor-critic with SmOoth Gradient for Skill Learning in Robot-Assisted Intervention Hao Li Xiao-Hu Zhou Xiaoliang Xie Shiqi Liu Zhen-Qiu Feng Z. Hou OffRL 16 11 0 19 Apr 2023
Efficient Online Reinforcement Learning with Offline Data Philip J. Ball Laura M. Smith Ilya Kostrikov Sergey Levine OffRL OnRL 16 161 0 06 Feb 2023
Human-Timescale Adaptation in an Open-Ended Task Space Adaptive Agent Team Jakob Bauer Kate Baumli Satinder Baveja Feryal M. P. Behbahani ... Jakub Sygnowski K. Tuyls Sarah York Alexander Zacherl Lei Zhang LM&Ro OffRL AI4CE LRM 30 108 0 18 Jan 2023
Hyperbolic Deep Reinforcement Learning Edoardo Cetin B. Chamberlain Michael M. Bronstein Jonathan J. Hunt 43 20 0 04 Oct 2022
Learning Pessimism for Robust and Efficient Off-Policy Reinforcement Learning Edoardo Cetin Oya Celiktutan OffRL 32 16 0 07 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 329 1,949 0 04 May 2020
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima N. Keskar Dheevatsa Mudigere J. Nocedal M. Smelyanskiy P. T. P. Tang ODL 273 2,886 0 15 Sep 2016