Image de couverture de livre

Unsupervised Skill Discovery through Skill Regions Differentiation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xiao, Ting, Zheng, Jiakun, Yang, Rushuai, Xu, Kang, Zhang, Qiaosheng, Liu, Peng, Bai, Chenjia
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Constrained Ensemble Exploration for Unsupervised Skill Discovery
par: Bai, Chenjia, et autres
Publié: (2024)

Online Preference Alignment for Language Models via Count-based Exploration
par: Bai, Chenjia, et autres
Publié: (2025)

Learn as Individuals, Evolve as a Team: Multi-agent LLMs Adaptation in Embodied Environments
par: Li, Xinran, et autres
Publié: (2025)

Unsupervised Hierarchical Skill Discovery
par: Harvey, Damion, et autres
Publié: (2026)

SUSD: Structured Unsupervised Skill Discovery through State Factorization
par: Hosseini, Seyed Mohammad Hadi, et autres
Publié: (2026)

Group-Invariant Unsupervised Skill Discovery: Symmetry-aware Skill Representations for Generalizable Behavior
par: Chang, Junwoo, et autres
Publié: (2026)

Unsupervised Skill Discovery for Robotic Manipulation through Automatic Task Generation
par: Jansonnie, Paul, et autres
Publié: (2024)

SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions
par: Wang, Zizhao, et autres
Publié: (2024)

Ensemble Successor Representations for Task Generalization in Offline-to-Online Reinforcement Learning
par: Wang, Changhong, et autres
Publié: (2024)

Disentangled Unsupervised Skill Discovery for Efficient Hierarchical Reinforcement Learning
par: Hu, Jiaheng, et autres
Publié: (2024)

Unsupervised Skill Discovery as Exploration for Learning Agile Locomotion
par: Rho, Seungeun, et autres
Publié: (2025)

Automated Skill Discovery for Language Agents through Exploration and Iterative Feedback
par: Yang, Yongjin, et autres
Publié: (2025)

ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
par: Liu, Xin, et autres
Publié: (2023)

Provably Efficient Information-Directed Sampling Algorithms for Multi-Agent Reinforcement Learning
par: Zhang, Qiaosheng, et autres
Publié: (2024)

Reference Grounded Skill Discovery
par: Rho, Seungeun, et autres
Publié: (2025)

Periodic Skill Discovery
par: Park, Jonghae, et autres
Publié: (2025)

Radiology Report Generation via Multi-objective Preference Optimization
par: Xiao, Ting, et autres
Publié: (2024)

SkillSafetyBench: Evaluating Agent Safety under Skill-Facing Attack Surfaces
par: Jin, Chang, et autres
Publié: (2026)

KungfuBot2: Learning Versatile Motion Skills for Humanoid Whole-Body Control
par: Han, Jinrui, et autres
Publié: (2025)

Language Guided Skill Discovery
par: Rho, Seungeun, et autres
Publié: (2024)

Agentic Skill Discovery
par: Zhao, Xufeng, et autres
Publié: (2024)

COLLIE: Guiding Skill Discovery in Semantically Coherent Latent Space
par: Luan, Yao, et autres
Publié: (2026)

LOTUS: Continual Imitation Learning for Robot Manipulation Through Unsupervised Skill Discovery
par: Wan, Weikang, et autres
Publié: (2023)

SkillRouter: Skill Routing for LLM Agents at Scale
par: Zheng, YanZhao, et autres
Publié: (2026)

SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning
par: Xia, Peng, et autres
Publié: (2026)

Efficient Skill Discovery via Regret-Aware Optimization
par: Zhang, He, et autres
Publié: (2025)

UpSkill: Mutual Information Skill Learning for Structured Response Diversity in LLMs
par: Shah, Devan, et autres
Publié: (2026)

CasCast: Skillful High-resolution Precipitation Nowcasting via Cascaded Modelling
par: Gong, Junchao, et autres
Publié: (2024)

Variational Offline Multi-agent Skill Discovery
par: Chen, Jiayu, et autres
Publié: (2024)

Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling
par: Chen, Weiqi, et autres
Publié: (2026)

Leveraging Human Feedback for Semantically-Relevant Skill Discovery
par: Hussonnois, Maxence, et autres
Publié: (2026)

A Fast Convergence Theory for Offline Decision Making
par: Mao, Chenjie, et autres
Publié: (2024)

SkillTree: Explainable Skill-Based Deep Reinforcement Learning for Long-Horizon Control Tasks
par: Wen, Yongyan, et autres
Publié: (2024)

Skill Expansion and Composition in Parameter Space
par: Liu, Tenglong, et autres
Publié: (2025)

Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents
par: Zhou, Yifei, et autres
Publié: (2024)

Identifying Selections for Unsupervised Subtask Discovery
par: Qiu, Yiwen, et autres
Publié: (2024)

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning
par: Wen, Xiaoyu, et autres
Publié: (2024)

Neuro-Symbolic Skill Discovery for Conditional Multi-Level Planning
par: Aktas, Hakan, et autres
Publié: (2024)

MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?
par: Che, Xinyu, et autres
Publié: (2026)

Uni-Skill: Building Self-Evolving Skill Repository for Generalizable Robotic Manipulation
par: Xie, Senwei, et autres
Publié: (2026)