Cover Image

VPWEM: Non-Markovian Visuomotor Policy with Working and Episodic Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Lei, Yuheng, Liang, Zhixuan, Zhang, Hongyuan, Luo, Ping
Format:	Preprint
Published:	2026
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

IMLE Policy: Fast and Sample Efficient Visuomotor Policy Learning via Implicit Maximum Likelihood Estimation
by: Rana, Krishan, et al.
Published: (2025)

ROCKET-2: Steering Visuomotor Policy via Cross-View Goal Alignment
by: Cai, Shaofei, et al.
Published: (2025)

Tube-NeRF: Efficient Imitation Learning of Visuomotor Policies from MPC using Tube-Guided Data Augmentation and NeRFs
by: Tagliabue, Andrea, et al.
Published: (2023)

ImitDiff: Transferring Foundation-Model Priors for Distraction Robust Visuomotor Policy
by: Dong, Yuhang, et al.
Published: (2025)

The Temporal Trap: Entanglement in Pre-Trained Visual Representations for Visuomotor Policy Learning
by: Tsagkas, Nikolaos, et al.
Published: (2025)

Maximizing Alignment with Minimal Feedback: Efficiently Learning Rewards for Visuomotor Robot Policy Alignment
by: Tian, Ran, et al.
Published: (2024)

Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation
by: Xie, Quanting, et al.
Published: (2024)

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model
by: Gao, Chongkai, et al.
Published: (2024)

Bidirectional Progressive Neural Networks with Episodic Return Progress for Emergent Task Sequencing and Robotic Skill Transfer
by: Ada, Suzan Ece, et al.
Published: (2024)

Do You Need Proprioceptive States in Visuomotor Policies?
by: Zhao, Juntu, et al.
Published: (2025)

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
by: Xu, Charles, et al.
Published: (2024)

Sequential memory improves sample and memory efficiency in Episodic Control
by: Freire, Ismael T., et al.
Published: (2021)

A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies
by: Lei, Yu, et al.
Published: (2026)

Policy Decorator: Model-Agnostic Online Refinement for Large Policy Model
by: Yuan, Xiu, et al.
Published: (2024)

LearningFlow: Automated Policy Learning Workflow for Urban Driving with Large Language Models
by: Peng, Zengqi, et al.
Published: (2025)

VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
by: Wang, Yixiao, et al.
Published: (2025)

SLIM: Sim-to-Real Legged Instructive Manipulation via Long-Horizon Visuomotor Learning
by: Zhang, Haichao, et al.
Published: (2025)

Investigating Memory in Model-Free RL with POPGym Arcade
by: Wang, Zekang, et al.
Published: (2025)

Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
by: Xue, Han, et al.
Published: (2025)

Explainable Representation of Finite-Memory Policies for POMDPs using Decision Trees
by: Azeem, Muqsit, et al.
Published: (2024)

SPRINT: Scalable Policy Pre-Training via Language Instruction Relabeling
by: Zhang, Jesse, et al.
Published: (2023)

Working Backwards: Learning to Place by Picking
by: Limoyo, Oliver, et al.
Published: (2023)

Diffusion Policies with Value-Conditional Optimization for Offline Reinforcement Learning
by: Ma, Yunchang, et al.
Published: (2025)

Robot Policy Learning with Temporal Optimal Transport Reward
by: Fu, Yuwei, et al.
Published: (2024)

ORSO: Accelerating Reward Design via Online Reward Selection and Policy Optimization
by: Zhang, Chen Bo Calvin, et al.
Published: (2024)

Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation
by: Prasad, Aaditya, et al.
Published: (2024)

Evolutionary Policy Optimization
by: Wang, Jianren, et al.
Published: (2025)

Policy-Guided Diffusion
by: Jackson, Matthew Thomas, et al.
Published: (2024)

Absolute Policy Optimization
by: Zhao, Weiye, et al.
Published: (2023)

ArticuBot: Learning Universal Articulated Object Manipulation Policy via Large Scale Simulation
by: Wang, Yufei, et al.
Published: (2025)

Rethinking Policy Diversity in Ensemble Policy Gradient in Large-Scale Reinforcement Learning
by: Shitanda, Naoki, et al.
Published: (2026)

Imagination Policy: Using Generative Point Cloud Models for Learning Manipulation Policies
by: Huang, Haojie, et al.
Published: (2024)

ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation
by: Lu, Dekun, et al.
Published: (2025)

Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
by: Zhang, Hao, et al.
Published: (2024)

TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction
by: Jiang, Yunfan, et al.
Published: (2024)

Memory-Consistent Neural Networks for Imitation Learning
by: Sridhar, Kaustubh, et al.
Published: (2023)

TMRL: Diffusion Timestep-Modulated Pretraining Enables Exploration for Efficient Policy Finetuning
by: Hong, Matthew M., et al.
Published: (2026)

Foundation Policies with Hilbert Representations
by: Park, Seohong, et al.
Published: (2024)

Safe Deep Policy Adaptation
by: Xiao, Wenli, et al.
Published: (2023)

Flattening Hierarchies with Policy Bootstrapping
by: Zhou, John L., et al.
Published: (2025)