Cover Image

Robust Policy Learning via Offline Skill Diffusion

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Woo Kyung, Yoo, Minjong, Woo, Honguk
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In-Context Policy Adaptation via Cross-Domain Skill Diffusion
by: Yoo, Minjong, et al.
Published: (2025)

Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned Tasks
by: Kim, Donghoon, et al.
Published: (2024)

Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation
by: Lee, Daehee, et al.
Published: (2024)

Embodied CoT Distillation From LLM To Off-the-shelf Agents
by: Choi, Wonje, et al.
Published: (2024)

Pareto Inverse Reinforcement Learning for Diverse Expert Policy Generation
by: Kim, Woo Kyung, et al.
Published: (2024)

Skills Regularized Task Decomposition for Multi-task Offline Reinforcement Learning
by: Yoo, Minjong, et al.
Published: (2024)

Model Adaptation for Time Constrained Embodied Control
by: Song, Jaehyun, et al.
Published: (2024)

One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
by: Shin, Sangwoo, et al.
Published: (2024)

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
by: Shin, Sangwoo, et al.
Published: (2024)

Efficient Policy Adaptation with Contrastive Prompt Ensemble for Embodied Agents
by: Choi, Wonje, et al.
Published: (2024)

Towards Robust Policy: Enhancing Offline Reinforcement Learning with Adversarial Attacks and Defenses
by: Nguyen, Thanh, et al.
Published: (2024)

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

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment
by: Choi, Jinwoo, et al.
Published: (2025)

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

EXTRACT: Efficient Policy Learning by Extracting Transferable Robot Skills from Offline Data
by: Zhang, Jesse, et al.
Published: (2024)

DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical Systems
by: Yoo, Se-Wook, et al.
Published: (2025)

A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control
by: Choi, Wonhyeok, et al.
Published: (2026)

World Model Implanting for Test-time Adaptation of Embodied Agents
by: Yoo, Minjong, et al.
Published: (2025)

Test-Time Mixture of World Models for Embodied Agents in Dynamic Environments
by: Jang, Jinwoo, et al.
Published: (2026)

Causal Flow Q-Learning for Robust Offline Reinforcement Learning
by: Li, Mingxuan, et al.
Published: (2026)

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

Diffusion Policies for Out-of-Distribution Generalization in Offline Reinforcement Learning
by: Ada, Suzan Ece, et al.
Published: (2023)

FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning
by: Alles, Marvin, et al.
Published: (2025)

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model
by: Zheng, Yinan, et al.
Published: (2024)

Towards Reliable Code-as-Policies: A Neuro-Symbolic Framework for Embodied Task Planning
by: Ahn, Sanghyun, et al.
Published: (2025)

Robust Offline Reinforcement Learning with Linearly Structured f-Divergence Regularization
by: Tang, Cheng, et al.
Published: (2024)

Exploratory Retrieval-Augmented Planning For Continual Embodied Instruction Following
by: Yoo, Minjong, et al.
Published: (2025)

Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints
by: Huang, Jianuo
Published: (2024)

REFINE-DP: Diffusion Policy Fine-tuning for Humanoid Loco-manipulation via Reinforcement Learning
by: Gu, Zhaoyuan, et al.
Published: (2026)

Offline Reinforcement Learning of High-Quality Behaviors Under Robust Style Alignment
by: Petitbois, Mathieu, et al.
Published: (2026)

Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning
by: Song, Yeda, et al.
Published: (2024)

COSBO: Conservative Offline Simulation-Based Policy Optimization
by: Kargar, Eshagh, et al.
Published: (2024)

Graph-Assisted Stitching for Offline Hierarchical Reinforcement Learning
by: Baek, Seungho, et al.
Published: (2025)

Learning Long-Context Diffusion Policies via Past-Token Prediction
by: Torne, Marcel, et al.
Published: (2025)

Offline Adaptation of Quadruped Locomotion using Diffusion Models
by: O'Mahoney, Reece, et al.
Published: (2024)

Offline Reinforcement Learning with Wasserstein Regularization via Optimal Transport Maps
by: Omura, Motoki, et al.
Published: (2025)

ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning
by: Zhou, Zihan, et al.
Published: (2025)

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

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

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