arXiv Machine Learning
CoDrift: Compositional Drifting for Offline Reinforcement Learning
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Decoupling Policy Extraction for Offline Reinforcement Learning
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arXiv Machine Learning
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PathBridger: Subgoal Bridges for Offline Goal-Conditioned Reinforcement Learning
arXiv:2608.29061v1 Announce Type: new Abstract: Offline goal-conditioned reinforcement learning (GCRL) aims to learn policies for reaching diverse goals entirely from fixed trajectory data. Long-hori...
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Hierarchical Reinforcement Learning with Optimal Level Synchronization Based on Flow-Based Deep Generative Model
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arXiv Machine Learning
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Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data
arXiv:2502. 19544v3 Announce Type: replace Abstract: Leveraging offline data is a promising way to improve the sample efficiency of online reinforcement learning (RL).
arXiv AI
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RAD: Retrieval High-quality Demonstrations to Enhance Decision-making
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arXiv Machine Learning
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Recursive Value Learning for Long-Horizon Offline Goal-Conditioned RL
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