Learning Latent Dynamics for Planning from Pixels

12 November 2018

Papers citing "Learning Latent Dynamics for Planning from Pixels"

50 / 397 papers shown

Title
Scaling Laws for State Dynamics in Large Language Models Jacob X Li Shreyas S Raman Jessica Wan Fahad Samman Jazlyn Lin 7 0 0 20 May 2025
Estimating Deformable-Rigid Contact Interactions for a Deformable Tool via Learning and Model-Based Optimization Mark Van der Merwe Miquel Oller Dmitry Berenson Nima Fazeli 17 0 0 16 May 2025
Accelerating Visual-Policy Learning through Parallel Differentiable Simulation Haoxiang You Yilang Liu Ian Abraham 14 0 0 15 May 2025
Explainable Reinforcement Learning Agents Using World Models Madhuri Singh Amal Alabdulkarim Gennie Mansi Mark O. Riedl 26 0 0 12 May 2025
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach Minting Pan Yitao Zheng Jiyang Li Yunbo Wang Xiaokang Yang OffRL 48 0 0 10 May 2025
UniVLA: Learning to Act Anywhere with Task-centric Latent Actions Qingwen Bu Yanting Yang Jisong Cai Shenyuan Gao Guanghui Ren Maoqing Yao Ping Luo Hongyang Li 194 2 0 09 May 2025
Coupled Distributional Random Expert Distillation for World Model Online Imitation Learning Shangzhe Li Zhiao Huang Hao Su 71 0 0 04 May 2025
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures Junwon Seo Kensuke Nakamura Andrea V. Bajcsy 56 0 0 01 May 2025
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 40 0 0 05 Apr 2025
World Model Agents with Change-Based Intrinsic Motivation Jeremias Ferrao Rafael Cunha OffRL MoE 57 0 0 26 Mar 2025
Extendable Long-Horizon Planning via Hierarchical Multiscale Diffusion Chang Chen Hany Hamed Doojin Baek Taegu Kang Yoshua Bengio Sungjin Ahn 57 0 0 25 Mar 2025
Towards Better Sample Efficiency in Multi-Agent Reinforcement Learning via Exploration Amir Baghi Jens Sjölund Joakim Bergdahl Linus Gisslén Alessandro Sestini 58 0 0 17 Mar 2025
Computation-Aware Kalman Filtering and Smoothing Marvin Pfortner Jonathan Wenger Jon Cockayne Philipp Hennig 88 3 0 13 Mar 2025
PRISM: Preference Refinement via Implicit Scene Modeling for 3D Vision-Language Preference-Based Reinforcement Learning Yirong Sun Yanjun Chen OffRL 56 0 0 13 Mar 2025
System 0/1/2/3: Quad-process theory for multi-timescale embodied collective cognitive systems Tadahiro Taniguchi Yasushi Hirai Masahiro Suzuki Shingo Murata Takato Horii Kazutoshi Tanaka AI4CE 66 0 0 08 Mar 2025
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks Thomas Schmied Thomas Adler Vihang Patil M. Beck Korbinian Poppel Johannes Brandstetter Günter Klambauer Razvan Pascanu Sepp Hochreiter 77 5 0 21 Feb 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability Carlos E. Luis A. Bottero Julia Vinogradska Felix Berkenkamp Jan Peters 84 1 0 20 Feb 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning Chengyang Ying Zhongkai Hao Xinning Zhou Hang Su Songming Liu Dong Yan Jun Zhu 77 3 0 17 Feb 2025
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 75 1 0 17 Feb 2025
DMWM: Dual-Mind World Model with Long-Term Imagination Lingyi Wang Rashed Shelim Walid Saad Naren Ramakrishnan LRM 223 1 0 11 Feb 2025
Temporal Representation Alignment: Successor Features Enable Emergent Compositionality in Robot Instruction Following Vivek Myers Bill Chunyuan Zheng Anca Dragan Kuan Fang Sergey Levine 72 0 0 08 Feb 2025
DHP: Discrete Hierarchical Planning for Hierarchical Reinforcement Learning Agents Shashank Sharma Janina Hoffmann Vinay P. Namboodiri 96 0 0 04 Feb 2025
Rapidly Adapting Policies to the Real World via Simulation-Guided Fine-Tuning Patrick Yin Tyler Westenbroek Simran Bagaria Kevin Huang Ching-an Cheng Andrey Kobolov Abhishek Gupta 80 2 0 04 Feb 2025
Dream to Fly: Model-Based Reinforcement Learning for Vision-Based Drone Flight Angel Romero Ashwin Shenai Ismail Geles Elie Aljalbout Davide Scaramuzza 84 1 0 24 Jan 2025
Boosting MCTS with Free Energy Minimization Mawaba Pascal Dao Adrian Peter 81 0 0 22 Jan 2025
GLAM: Global-Local Variation Awareness in Mamba-based World Model Qian He Wenqi Liang Chunhui Hao Gan Sun Jiandong Tian 66 0 0 21 Jan 2025
FutureDepth: Learning to Predict the Future Improves Video Depth Estimation R. Yasarla Manish Kumar Singh Hong Cai Yunxiao Shi Jisoo Jeong Yinhao Zhu Shizhong Han Risheek Garrepalli Fatih Porikli MDE 98 6 0 17 Jan 2025
EVaDE : Event-Based Variational Thompson Sampling for Model-Based Reinforcement Learning Siddharth Aravindan Dixant Mittal Wee Sun Lee BDL 79 0 0 17 Jan 2025
RoboHorizon: An LLM-Assisted Multi-View World Model for Long-Horizon Robotic Manipulation Zixuan Chen Jing Huo Yangtao Chen Yang Gao 48 3 0 11 Jan 2025
Learning to Navigate in Mazes with Novel Layouts using Abstract Top-down Maps Linfeng Zhao Lawson L. S. Wong 84 1 0 16 Dec 2024
BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics Keyi Shen Jiangwei Yu Huan Zhang Yunzhu Li Yunzhu Li 103 1 0 12 Dec 2024
State Chrono Representation for Enhancing Generalization in Reinforcement Learning Jianda Chen Wen Zheng Terence Ng Zichen Chen Sinno Jialin Pan Tianwei Zhang OffRL 37 0 0 09 Nov 2024
Constrained Latent Action Policies for Model-Based Offline Reinforcement Learning Marvin Alles Philip Becker-Ehmck Patrick van der Smagt Maximilian Karl OffRL 41 1 0 07 Nov 2024
Learning Multiple Initial Solutions to Optimization Problems Elad Sharony Heng Yang Tong Che Marco Pavone Shie Mannor Peter Karkus 36 2 0 04 Nov 2024
FACTS: A Factored State-Space Framework For World Modelling Li Nanbo Firas Laakom Yucheng Xu Wenyi Wang Jürgen Schmidhuber AI4TS 229 0 0 28 Oct 2024
Prioritized Generative Replay Renhao Wang Kevin Frans Pieter Abbeel Sergey Levine Alexei A. Efros OnRL DiffM 119 2 0 23 Oct 2024
Reward-free World Models for Online Imitation Learning Shangzhe Li Zhiao Huang H. Su OffRL 67 1 0 17 Oct 2024
Web Agents with World Models: Learning and Leveraging Environment Dynamics in Web Navigation Hyungjoo Chae Namyoung Kim Kai Tzu-iunn Ong Minju Gwak Gwanwoo Song Jihoon Kim S. Kim Dongha Lee Jinyoung Yeo LLMAG 33 15 0 17 Oct 2024
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning Yarden As Bhavya Sukhija Lenart Treven Carmelo Sferrazza Stelian Coros Andreas Krause 33 1 0 12 Oct 2024
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering Jiaxu Wang Jingkai Sun Junhao He Ziyi Zhang Qiang Zhang Mingyuan Sun Renjing Xu AI4CE 34 0 0 11 Oct 2024
Drama: Mamba-Enabled Model-Based Reinforcement Learning Is Sample and Parameter Efficient Wenlong Wang Ivana Dusparic Yucheng Shi Ke Zhang Vinny Cahill Mamba 224 0 0 11 Oct 2024
Masked Generative Priors Improve World Models Sequence Modelling Capabilities Cristian Meo Mircea Lica Zarif Ikram Akihiro Nakano Vedant Shah Aniket Didolkar Dianbo Liu Anirudh Goyal Justin Dauwels OffRL 90 0 0 10 Oct 2024
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
Open-World Reinforcement Learning over Long Short-Term Imagination Jiajian Li Q. Wang Yunbo Wang Xin Jin Yang Li Wenjun Zeng Xiaokang Yang OCL VLM 64 1 0 04 Oct 2024
Mitigating Covariate Shift in Imitation Learning for Autonomous Vehicles Using Latent Space Generative World Models A. Popov Alperen Degirmenci David Wehr Shashank Hegde Ryan Oldja ... David Nistér Urs Muller Ruchi Bhargava Stan Birchfield Nikolai Smolyanskiy 83 9 0 25 Sep 2024
DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor Control Zichen Jeff Cui Hengkai Pan Aadhithya Iyer Siddhant Haldar Lerrel Pinto VGen 38 10 0 18 Sep 2024
Enhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization Gao Tianci Dmitriev D. Dmitry Konstantin A. Neusypin Yang Bo Rao Shengren OffRL 33 1 0 02 Sep 2024
An Examination of Offline-Trained Encoders in Vision-Based Deep Reinforcement Learning for Autonomous Driving S. Mohammed Alp Argun Nicolas Bonnotte Gerd Ascheid OffRL 28 0 0 02 Sep 2024
Learning Multi-agent Multi-machine Tending by Mobile Robots Abdalwhab Abdalwhab Giovanni Beltrame Samira Ebrahimi Kahou David St-Onge 29 1 0 29 Aug 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Yixuan Huang Christopher Agia Jimmy Wu Tucker Hermans Jeannette Bohg 3DPC 49 1 0 27 Aug 2024