Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning

16 September 2022

Papers citing "Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning"

22 / 22 papers shown

Title
Accelerating Visual Reinforcement Learning with Separate Primitive Policy for Peg-in-Hole Tasks Zichun Xu Zhaomin Wang Yuntao Li Lei Zhuang Zhiyuan Zhao Guocai Yang Jingdong Zhao 26 0 0 21 Apr 2025
The Dual-Route Model of Induction Sheridan Feucht Eric Todd Byron C. Wallace David Bau 32 0 0 03 Apr 2025
HASARD: A Benchmark for Vision-Based Safe Reinforcement Learning in Embodied Agents Tristan Tomilin Meng Fang Mykola Pechenizkiy 55 0 0 11 Mar 2025
Focus On What Matters: Separated Models For Visual-Based RL Generalization Di Zhang Bowen Lv Hai Zhang Feifan Yang Junqiao Zhao Hang Yu Chang Huang Hongtu Zhou Chen Ye Changjun Jiang 27 3 0 29 Sep 2024
The Overfocusing Bias of Convolutional Neural Networks: A Saliency-Guided Regularization Approach David Bertoin Eduardo Hugo Sanchez Mehdi Zouitine Emmanuel Rachelson 34 0 0 25 Sep 2024
Learning to Manipulate Anywhere: A Visual Generalizable Framework For Reinforcement Learning Zhecheng Yuan Tianming Wei Shuiqi Cheng Gu Zhang Yuanpei Chen Huazhe Xu 48 22 0 22 Jul 2024
ViSaRL: Visual Reinforcement Learning Guided by Human Saliency Anthony Liang Jesse Thomason Erdem Biyik 32 7 0 16 Mar 2024
Understanding What Affects Generalization Gap in Visual Reinforcement Learning: Theory and Empirical Evidence Jiafei Lyu Le Wan Xiu Li Zongqing Lu CML OffRL 38 4 0 05 Feb 2024
BET: Explaining Deep Reinforcement Learning through The Error-Prone Decisions Xiao Liu Jie Zhao Wubing Chen Mao Tan Yongxin Su OffRL FAtt 28 0 0 14 Jan 2024
Generalizable Visual Reinforcement Learning with Segment Anything Model Ziyu Wang Yanjie Ze Yifei Sun Zhecheng Yuan Huazhe Xu VLM 25 8 0 28 Dec 2023
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning Bram Grooten Tristan Tomilin G. Vasan M. E. Taylor A. R. Mahmood Meng Fang Mykola Pechenizkiy D. Mocanu 24 8 0 23 Dec 2023
From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape Timothy R. McIntosh Teo Susnjak Tong Liu Paul Watters Malka N. Halgamuge 88 46 0 18 Dec 2023
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans Kyowoon Lee Seongun Kim Jaesik Choi DiffM 26 9 0 30 Oct 2023
Learning Generalizable Agents via Saliency-Guided Features Decorrelation Sili Huang Yanchao Sun Jifeng Hu Siyuan Guo Hechang Chen Yi-Ju Chang Lichao Sun Bo Yang 26 4 0 08 Oct 2023
RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization Zhecheng Yuan Sizhe Yang Pu Hua C. Chang Kaizhe Hu Huazhe Xu OOD OffRL 24 17 0 15 Jul 2023
MoVie: Visual Model-Based Policy Adaptation for View Generalization Sizhe Yang Yanjie Ze Huazhe Xu 52 12 0 03 Jul 2023
Normalization Enhances Generalization in Visual Reinforcement Learning Lu Li Jiafei Lyu Guozheng Ma Zilin Wang Zhen Yang Xiu Li Zhiheng Li OOD 17 8 0 01 Jun 2023
A Survey on Explainable Reinforcement Learning: Concepts, Algorithms, Challenges Yunpeng Qing Shunyu Liu Jie Song Huiqiong Wang Mingli Song XAI 30 1 0 12 Nov 2022
Goal-Conditioned Q-Learning as Knowledge Distillation Alexander Levine S. Feizi OffRL 22 2 0 28 Aug 2022
Look at the Variance! Efficient Black-box Explanations with Sobol-based Sensitivity Analysis Thomas Fel Rémi Cadène Mathieu Chalvidal Matthieu Cord David Vigouroux Thomas Serre MLAU FAtt AAML 114 58 0 07 Nov 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 131 101 0 07 Jan 2021
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 106 117 0 21 Oct 2020