DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations

27 October 2021

Papers citing "DreamerPro: Reconstruction-Free Model-Based Reinforcement Learning with Prototypical Representations"

46 / 46 papers shown

Title
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning Shiguang Sun Hanbo Zhang Zeyang Liu Xinrui Yang Lipeng Wan Bing Yan Xingyu Chen Xuguang Lan 32 0 0 05 Apr 2025
TAR: Teacher-Aligned Representations via Contrastive Learning for Quadrupedal Locomotion Amr Mousa Neil Karavis Michele Caprio Wei Pan Richard Allmendinger 57 0 0 26 Mar 2025
Learning Transformer-based World Models with Contrastive Predictive Coding Maxime Burchi Radu Timofte 67 0 0 06 Mar 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 62 3 0 17 Feb 2025
Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos Xin Liu Yaran Chen Haoran Li SSL 94 0 0 14 Dec 2024
Policy-shaped prediction: avoiding distractions in model-based reinforcement learning Miles Hutson Isaac Kauvar Nick Haber 59 0 0 08 Dec 2024
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions Kyungmin Kim JB Lanier Pierre Baldi Charless C. Fowlkes Roy Fox 23 1 0 13 Oct 2024
Contrastive Abstraction for Reinforcement Learning Vihang Patil M. Hofmarcher Elisabeth Rumetshofer Sepp Hochreiter OffRL SSL 24 2 0 01 Oct 2024
Rethinking State Disentanglement in Causal Reinforcement Learning Haiyao Cao Zhen Zhang Panpan Cai Yuhang Liu Jinan Zou Ehsan Abbasnejad Biwei Huang Mingming Gong Anton van den Hengel Javen Qinfeng Shi CML 29 0 0 24 Aug 2024
Multimodal foundation world models for generalist embodied agents Pietro Mazzaglia Tim Verbelen Bart Dhoedt Aaron C. Courville Sai Rajeswar OffRL LM&Ro 42 1 0 26 Jun 2024
Temporal Prototype-Aware Learning for Active Voltage Control on Power Distribution Networks Feiyang Xu Shunyu Liu Yunpeng Qing Yihe Zhou Yuwen Wang Mingli Song 19 1 0 25 Jun 2024
MuDreamer: Learning Predictive World Models without Reconstruction Maxime Burchi Radu Timofte 27 3 0 23 May 2024
Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement Learning Xin Liu Yaran Chen Dong Zhao 35 1 0 20 May 2024
Learning Latent Dynamic Robust Representations for World Models Ruixiang Sun Hongyu Zang Xin-hui Li Riashat Islam 29 5 0 10 May 2024
Is Sora a World Simulator? A Comprehensive Survey on General World Models and Beyond Zheng Zhu Xiaofeng Wang Wangbo Zhao Chen Min Nianchen Deng ... Dawei Zhao Liang Xiao Jian-jun Zhao Jiwen Lu Guan Huang VGen LM&Ro 79 36 0 06 May 2024
Learning Tactile Insertion in the Real World Daniel Palenicek Theo Gruner Tim Schneider Alina Böhm Janis Lenz Inga Pfenning Eric Krämer Jan Peters 20 2 0 01 May 2024
World Models for Autonomous Driving: An Initial Survey Yanchen Guan Haicheng Liao Zhenning Li Jia Hu Runze Yuan Yunjian Li Guohui Zhang Chengzhong Xu 32 31 0 05 Mar 2024
Episodic Reinforcement Learning with Expanded State-reward Space Dayang Liang Yaru Zhang Yunlong Liu OffRL 34 0 0 19 Jan 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
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response Junfeng Long Zirui Wang Quanyi Li Jiawei Gao Liu Cao Jiangmiao Pang 63 25 0 18 Dec 2023
DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing Vint Lee Pieter Abbeel Youngwoon Lee 14 5 0 02 Nov 2023
Iteratively Learn Diverse Strategies with State Distance Information Wei Fu Weihua Du Jingwei Li Sunli Chen Jingzhao Zhang Yi Wu 38 3 0 23 Oct 2023
HarmonyDream: Task Harmonization Inside World Models Haoyu Ma Jialong Wu Ningya Feng Chenjun Xiao Dong Li Jianye Hao Jianmin Wang Mingsheng Long 33 7 0 30 Sep 2023
FOCUS: Object-Centric World Models for Robotics Manipulation Stefano Ferraro Pietro Mazzaglia Tim Verbelen Bart Dhoedt OCL LM&Ro 32 13 0 05 Jul 2023
Facing Off World Model Backbones: RNNs, Transformers, and S4 Fei Deng Junyeong Park Sungjin Ahn 25 24 0 05 Jul 2023
Curious Replay for Model-based Adaptation Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 15 10 0 28 Jun 2023
Learning World Models with Identifiable Factorization Yu-Ren Liu Biwei Huang Zhengmao Zhu Hong Tian Mingming Gong Yang Yu Kun Zhang CML OffRL 12 12 0 11 Jun 2023
Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning Jialong Wu Haoyu Ma Chao Deng Mingsheng Long OffRL 19 24 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 9 0 25 May 2023
Model-Based Reinforcement Learning with Isolated Imaginations Minting Pan Xiangming Zhu Yitao Zheng Yunbo Wang Xiaokang Yang 10 0 0 27 Mar 2023
Sample-efficient Real-time Planning with Curiosity Cross-Entropy Method and Contrastive Learning Mostafa Kotb C. Weber S. Wermter 25 4 0 07 Mar 2023
Robust Representation Learning by Clustering with Bisimulation Metrics for Visual Reinforcement Learning with Distractions Qiyuan Liu Qi Zhou Rui Yang Jie Wang OffRL OOD 17 14 0 12 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning Xin Liu Yaran Chen Haoran Li Boyu Li Dong Zhao SSL 53 10 0 11 Feb 2023
Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL P. Becker Sebastian Mossburger Fabian Otto Gerhard Neumann SSL 16 2 0 10 Feb 2023
Can Direct Latent Model Learning Solve Linear Quadratic Gaussian Control? Yi Tian K. Zhang Russ Tedrake S. Sra 34 4 0 30 Dec 2022
Prototypical context-aware dynamics generalization for high-dimensional model-based reinforcement learning Junjie Wang Yao Mu Dong Li Qichao Zhang Dongbin Zhao Yuzheng Zhuang Ping Luo Bin Wang Jianye Hao OffRL 19 3 0 23 Nov 2022
Learning Robust Dynamics through Variational Sparse Gating A. Jain Shivakanth Sujit S. Joshi Vincent Michalski Danijar Hafner Samira Ebrahimi Kahou 11 8 0 21 Oct 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning Daesol Cho D. Shim H. J. Kim OffRL 33 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 16 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 40 25 0 18 Sep 2022
Masked World Models for Visual Control Younggyo Seo Danijar Hafner Hao Liu Fangchen Liu Stephen James Kimin Lee Pieter Abbeel OffRL 77 145 0 28 Jun 2022
DayDreamer: World Models for Physical Robot Learning Philipp Wu Alejandro Escontrela Danijar Hafner Ken Goldberg Pieter Abbeel 36 276 0 28 Jun 2022
DreamingV2: Reinforcement Learning with Discrete World Models without Reconstruction Masashi Okada T. Taniguchi 3DV OffRL 20 22 0 01 Mar 2022
Emerging Properties in Self-Supervised Vision Transformers Mathilde Caron Hugo Touvron Ishan Misra Hervé Jégou Julien Mairal Piotr Bojanowski Armand Joulin 303 5,761 0 29 Apr 2021
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels Austin Stone Oscar Ramirez K. Konolige Rico Jonschkowski 129 101 0 07 Jan 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 280 339 0 14 Sep 2020