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skill learning

59 papers

Papers

AtomicVLA: Unlocking the Potential of Atomic Skill Learning in Robots CVPR 2026 Learning Diffusion Policy from Primitive Skills for Robot Manipulation AAAI 2026 Lifelong Language-Conditioned Robotic Manipulation Learning AAAI 2026 SkillGen: Learning Domain Skills for In-Context Sequential Decision Making AAAI 2026 A Survey to Recent Progress Towards Understanding In-Context Learning NAACL 2025 Can a MISL Fly? Analysis and Ingredients for Mutual Information Skill Learning ICLR 2025 Diffeomorphic Obstacle Avoidance for Contractive Dynamical Systems via Implicit Representations RSS 2025 Discrete Latent Plans via Semantic Skill Abstractions ICLR 2025 Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment ICLR 2025 iManip: Skill-Incremental Learning for Robotic Manipulation ICCV 2025 In-Context Policy Adaptation via Cross-Domain Skill Diffusion AAAI 2025 S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement Learning IJCAI 2025 SkillMimic: Learning Basketball Interaction Skills from Demonstrations CVPR 2025 Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills AAAI 2024 Exploration by Learning Diverse Skills through Successor State Representations NeurIPS 2024 Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning AAAI 2024 Learning Versatile Skills with Curriculum Masking NeurIPS 2024 Mimicking the Maestro: Exploring the Efficacy of a Virtual AI Teacher in Fine Motor Skill Acquisition AAAI 2024 Robust Policy Learning via Offline Skill Diffusion AAAI 2024 SELMA: Learning and Merging Skill-Specific Text-to-Image Experts with Auto-Generated Data NeurIPS 2024 SkiLD: Unsupervised Skill Discovery Guided by Factor Interactions NeurIPS 2024 SkillDiffuser: Interpretable Hierarchical Planning via Skill Abstractions in Diffusion-Based Task Execution CVPR 2024 Subwords as Skills: Tokenization for Sparse-Reward Reinforcement Learning NeurIPS 2024 Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning ICLR 2024 Unsupervised Object Interaction Learning with Counterfactual Dynamics Models AAAI 2024