Cover Image

ResWM: Residual-Action World Model for Visual RL

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jseen, Adineera, Gabriel, Tan, Jinzhou, Kim, Jinoh
Format:	Preprint
Published:	2026
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProgAgent:A Continual RL Agent with Progress-Aware Rewards
by: Tan, Jinzhou, et al.
Published: (2026)

EA-WM: Event-Aware Generative World Model with Structured Kinematic-to-Visual Action Fields
by: Yang, Zhaoyang, et al.
Published: (2026)

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning
by: Zhou, Gaoyue, et al.
Published: (2024)

AdaWM: Adaptive World Model based Planning for Autonomous Driving
by: Wang, Hang, et al.
Published: (2025)

RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation
by: Jiang, Feng, et al.
Published: (2026)

World Action Verifier: Self-Improving World Models via Forward-Inverse Asymmetry
by: Liu, Yuejiang, et al.
Published: (2026)

LaDi-WM: A Latent Diffusion-based World Model for Predictive Manipulation
by: Huang, Yuhang, et al.
Published: (2025)

Learning Visual Feature-Based World Models via Residual Latent Action
by: Zhang, Xinyu, et al.
Published: (2026)

ContactGaussian-WM: Learning Physics-Grounded World Model from Videos
by: Wang, Meizhong, et al.
Published: (2026)

ManipDreamer: Boosting Robotic Manipulation World Model with Action Tree and Visual Guidance
by: Li, Ying, et al.
Published: (2025)

Driver-WM: A Driver-Centric Traffic-Conditioned Latent World Model for In-Cabin Dynamics Rollout
by: Chi, Haozhuang, et al.
Published: (2026)

When to Trust Imagination: Adaptive Action Execution for World Action Models
by: Wang, Rui, et al.
Published: (2026)

WorldVLA: Towards Autoregressive Action World Model
by: Cen, Jun, et al.
Published: (2025)

Adapting World Models with Latent-State Dynamics Residuals
by: Lanier, JB, et al.
Published: (2025)

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
by: Jiang, Zhennan, et al.
Published: (2025)

Coupled Local and Global World Models for Efficient First Order RL
by: Amigo, Joseph, et al.
Published: (2026)

Action with Visual Primitives
by: Guo, Weilong, et al.
Published: (2026)

SLAC: Simulation-Pretrained Latent Action Space for Whole-Body Real-World RL
by: Hu, Jiaheng, et al.
Published: (2025)

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
by: Jiang, Zhennan, et al.
Published: (2026)

Residual RL--MPC for Robust Microrobotic Cell Pushing Under Time-Varying Flow
by: Yang, Yanda, et al.
Published: (2026)

A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
by: Zhai, Shaopeng, et al.
Published: (2025)

Discover, Learn, and Reinforce: Scaling Vision-Language-Action Pretraining with Diverse RL-Generated Trajectories
by: Yang, Rushuai, et al.
Published: (2025)

DEAS: DEtached value learning with Action Sequence for Scalable Offline RL
by: Kim, Changyeon, et al.
Published: (2025)

AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action Models
by: Jia, Tingzheng, et al.
Published: (2026)

Multi-Task Interactive Robot Fleet Learning with Visual World Models
by: Liu, Huihan, et al.
Published: (2024)

WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
by: Zhu, Fangqi, et al.
Published: (2025)

NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards
by: Hung, Chia-Yu, et al.
Published: (2025)

Game On: Towards Language Models as RL Experimenters
by: Zhang, Jingwei, et al.
Published: (2024)

BORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models
by: Chen, Zhongxi, et al.
Published: (2026)

SpatialVLA: Exploring Spatial Representations for Visual-Language-Action Model
by: Qu, Delin, et al.
Published: (2025)

Hume: Introducing System-2 Thinking in Visual-Language-Action Model
by: Song, Haoming, et al.
Published: (2025)

ChronoDreamer: Action-Conditioned World Model as an Online Simulator for Robotic Planning
by: Zhou, Zhenhao, et al.
Published: (2025)

Incremental Residual Reinforcement Learning Toward Real-World Learning for Social Navigation
by: Nagahisa, Haruto, et al.
Published: (2026)

Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
by: Trumpp, Raphael, et al.
Published: (2026)

DyWA: Dynamics-adaptive World Action Model for Generalizable Non-prehensile Manipulation
by: Lyu, Jiangran, et al.
Published: (2025)

HIQL: Offline Goal-Conditioned RL with Latent States as Actions
by: Park, Seohong, et al.
Published: (2023)

RobotDancing: Residual-Action Reinforcement Learning Enables Robust Long-Horizon Humanoid Motion Tracking
by: Sun, Zhenguo, et al.
Published: (2025)

Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
by: Lee, Sangoh, et al.
Published: (2025)

Prediction with Action: Visual Policy Learning via Joint Denoising Process
by: Guo, Yanjiang, et al.
Published: (2024)

EVA: Aligning Video World Models with Executable Robot Actions via Inverse Dynamics Rewards
by: Wang, Ruixiang, et al.
Published: (2026)