Cover Image

Offline Imitation Learning upon Arbitrary Demonstrations by Pre-Training Dynamics Representations

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ma, Haitong, Dai, Bo, Ren, Zhaolin, Wang, Yebin, Li, Na
Format:	Preprint
Published:	2025
Subjects:	Robotics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint
by: Ma, Haitong, et al.
Published: (2024)

Stochastic Nonlinear Control via Finite-dimensional Spectral Dynamic Embedding
by: Ren, Zhaolin, et al.
Published: (2023)

How to Train Your Robots? The Impact of Demonstration Modality on Imitation Learning
by: Li, Haozhuo, et al.
Published: (2025)

Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning
by: Corrado, Nicholas E., et al.
Published: (2023)

Uncertainty-Aware Deployment of Pre-trained Language-Conditioned Imitation Learning Policies
by: Wu, Bo, et al.
Published: (2024)

Augmented Reality Demonstrations for Scalable Robot Imitation Learning
by: Yang, Yue, et al.
Published: (2024)

Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
by: Tang, Runze, et al.
Published: (2026)

Offline Imitation Learning Through Graph Search and Retrieval
by: Yin, Zhao-Heng, et al.
Published: (2024)

Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning
by: Jiang, Ke, et al.
Published: (2025)

The Art of Imitation: Learning Long-Horizon Manipulation Tasks from Few Demonstrations
by: von Hartz, Jan Ole, et al.
Published: (2024)

SD2AIL: Adversarial Imitation Learning from Synthetic Demonstrations via Diffusion Models
by: Li, Pengcheng, et al.
Published: (2025)

Distributed Thompson sampling under constrained communication
by: Zerefa, Saba, et al.
Published: (2024)

SPREAD: Subspace Representation Distillation for Lifelong Imitation Learning
by: Roy, Kaushik, et al.
Published: (2026)

Feasibility-aware Imitation Learning from Observations through a Hand-mounted Demonstration Interface
by: Takahashi, Kei, et al.
Published: (2025)

A Dual Approach to Imitation Learning from Observations with Offline Datasets
by: Sikchi, Harshit, et al.
Published: (2024)

Offline Diversity Maximization Under Imitation Constraints
by: Vlastelica, Marin, et al.
Published: (2023)

Using Non-Expert Data to Robustify Imitation Learning via Offline Reinforcement Learning
by: Huang, Kevin, et al.
Published: (2025)

Training-Free Imitation Learning with Closed-Form Diffusion Policies
by: Mishra, Raghav, et al.
Published: (2026)

Semi-Supervised Cross-Domain Imitation Learning
by: Chu, Li-Min, et al.
Published: (2026)

Offline-to-online Reinforcement Learning for Image-based Grasping with Scarce Demonstrations
by: Chan, Bryan, et al.
Published: (2024)

A Model-Based Approach to Imitation Learning through Multi-Step Predictions
by: Balim, Haldun, et al.
Published: (2025)

Motion Tracks: A Unified Representation for Human-Robot Transfer in Few-Shot Imitation Learning
by: Ren, Juntao, et al.
Published: (2025)

Learning Memory Mechanisms for Decision Making through Demonstrations
by: Yue, William, et al.
Published: (2024)

Dual-Force: Enhanced Offline Diversity Maximization under Imitation Constraints
by: Kolev, Pavel, et al.
Published: (2025)

Efficient Online Reinforcement Learning for Diffusion Policy
by: Ma, Haitong, et al.
Published: (2025)

Equivariant Offline Reinforcement Learning
by: Tangri, Arsh, et al.
Published: (2024)

MaIL: Improving Imitation Learning with Mamba
by: Jia, Xiaogang, et al.
Published: (2024)

How to Leverage Diverse Demonstrations in Offline Imitation Learning
by: Yue, Sheng, et al.
Published: (2024)

Efficient Imitation Without Demonstrations via Value-Penalized Auxiliary Control from Examples
by: Ablett, Trevor, et al.
Published: (2024)

DexCanvas: Bridging Human Demonstrations and Robot Learning for Dexterous Manipulation
by: Xu, Xinyue, et al.
Published: (2025)

From Imitation to Optimization: A Comparative Study of Offline Learning for Autonomous Driving
by: Guillen-Perez, Antonio
Published: (2025)

Action-Constrained Imitation Learning
by: Yeh, Chia-Han, et al.
Published: (2025)

Multimodal Visual-Tactile Representation Learning through Self-Supervised Contrastive Pre-Training
by: Dave, Vedant, et al.
Published: (2024)

Dataset Clustering for Improved Offline Policy Learning
by: Wang, Qiang, et al.
Published: (2024)

Generalization Capability for Imitation Learning
by: Wang, Yixiao
Published: (2025)

An Introduction to Deep Reinforcement and Imitation Learning
by: Santana, Pedro
Published: (2025)

Offline Reinforcement Learning with Discrete Diffusion Skills
by: Qiao, RuiXi, et al.
Published: (2025)

Adaptive Q-Chunking for Offline-to-Online Reinforcement Learning
by: Gireesh, Nandiraju, et al.
Published: (2026)

CubeDAgger: Interactive Imitation Learning for Dynamic Systems with Efficient yet Low-risk Interaction
by: Kobayashi, Taisuke
Published: (2025)

CIVIL: Causal and Intuitive Visual Imitation Learning
by: Dai, Yinlong, et al.
Published: (2025)