Cover Image

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jesse, Heo, Minho, Liu, Zuxin, Biyik, Erdem, Lim, Joseph J, Liu, Yao, Fakoor, Rasool
Format:	Preprint
Published:	2024
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

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models
by: Liu, Zuxin, et al.
Published: (2023)

MILE: Model-based Intervention Learning
by: Korkmaz, Yigit, et al.
Published: (2025)

Budgeting Counterfactual for Offline RL
by: Liu, Yao, et al.
Published: (2023)

PEEK: Guiding and Minimal Image Representations for Zero-Shot Generalization of Robot Manipulation Policies
by: Zhang, Jesse, et al.
Published: (2025)

Mitigating Suboptimality of Deterministic Policy Gradients in Complex Q-functions
by: Jain, Ayush, et al.
Published: (2024)

Batch Active Learning of Reward Functions from Human Preferences
by: Bıyık, Erdem, et al.
Published: (2024)

When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
by: Li, Xinhu, et al.
Published: (2025)

RAILGUN: A Unified Convolutional Policy for Multi-Agent Path Finding Across Different Environments and Tasks
by: Tang, Yimin, et al.
Published: (2025)

CLAM: Continuous Latent Action Models for Robot Learning from Unlabeled Demonstrations
by: Liang, Anthony, et al.
Published: (2025)

GABRIL: Gaze-Based Regularization for Mitigating Causal Confusion in Imitation Learning
by: Banayeeanzade, Amin, et al.
Published: (2025)

Causally Robust Reward Learning from Reason-Augmented Preference Feedback
by: Hwang, Minjune, et al.
Published: (2026)

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
by: Wang, Yufei, et al.
Published: (2024)

Robust Policy Learning via Offline Skill Diffusion
by: Kim, Woo Kyung, et al.
Published: (2024)

Actor-Free Continuous Control via Structurally Maximizable Q-Functions
by: Korkmaz, Yigit, et al.
Published: (2025)

Semantic-Geometric-Physical-Driven Robot Manipulation Skill Transfer via Skill Library and Tactile Representation
by: Qi, Mingchao, et al.
Published: (2024)

Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)

A Generalized Acquisition Function for Preference-based Reward Learning
by: Ellis, Evan, et al.
Published: (2024)

Offline Learning and Forgetting for Reasoning with Large Language Models
by: Ni, Tianwei, et al.
Published: (2025)

Multi-Agent Inverse Q-Learning from Demonstrations
by: Haynam, Nathaniel, et al.
Published: (2025)

IMPACT: Intelligent Motion Planning with Acceptable Contact Trajectories via Vision-Language Models
by: Ling, Yiyang, et al.
Published: (2025)

ReWiND: Language-Guided Rewards Teach Robot Policies without New Demonstrations
by: Zhang, Jiahui, et al.
Published: (2025)

Training Robots without Robots: Deep Imitation Learning for Master-to-Robot Policy Transfer
by: Kim, Heecheol, et al.
Published: (2022)

Human-Humanoid Robots Cross-Embodiment Behavior-Skill Transfer Using Decomposed Adversarial Learning from Demonstration
by: Liu, Junjia, et al.
Published: (2024)

Learning to Transfer Human Hand Skills for Robot Manipulations
by: Park, Sungjae, et al.
Published: (2025)

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

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

Reinforcement Learning in a Safety-Embedded MDP with Trajectory Optimization
by: Yang, Fan, et al.
Published: (2023)

ViSaRL: Visual Reinforcement Learning Guided by Human Saliency
by: Liang, Anthony, et al.
Published: (2024)

Subtask-Aware Visual Reward Learning from Segmented Demonstrations
by: Kim, Changyeon, et al.
Published: (2025)

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis
by: Koulaeizadeh, Zahra, et al.
Published: (2024)

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment
by: Zeng, Yuwei, et al.
Published: (2024)

ZEST: Zero-shot Embodied Skill Transfer for Athletic Robot Control
by: Sleiman, Jean Pierre, et al.
Published: (2026)

Transferable Latent-to-Latent Locomotion Policy for Efficient and Versatile Motion Control of Diverse Legged Robots
by: Zheng, Ziang, et al.
Published: (2025)

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning
by: Liu, Tenglong, et al.
Published: (2024)

Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only
by: Xiao, Wei, et al.
Published: (2025)

Cross-Embodiment Offline Reinforcement Learning for Heterogeneous Robot Datasets
by: Abe, Haruki, et al.
Published: (2026)

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

Efficient Evaluation of Multi-Task Robot Policies With Active Experiment Selection
by: Anwar, Abrar, et al.
Published: (2025)

Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment
by: Wang, Tianyu, et al.
Published: (2024)

Cloud-Based Hierarchical Imitation Learning for Scalable Transfer of Construction Skills from Human Workers to Assisting Robots
by: Yu, Hongrui, et al.
Published: (2023)