arXiv AI
Learning Transferable Skills using Goal-Conditioned Bisimulation
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SUSD: Structured Unsupervised Skill Discovery through State Factorization
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ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning
arXiv:2501. 14622v5 Announce Type: replace Abstract: Learning efficient representations for decision-making policies is a challenge in imitation learning (IL).
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Learning Generalizable Skill Policy with Data-Efficient Unsupervised RL
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SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution
arXiv:2607. 26784v1 Announce Type: new Abstract: Large language model agents often encounter related yet distinct tasks that share reusable solution patterns.
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ConTraIRL: Factorized Contrastive Abstractions for Transferable IRL
arXiv:2606. 03017v1 Announce Type: cross Abstract: Reward transfer in Inverse Reinforcement Learning (IRL) is unreliable when policies must generalize to unseen combinations of environment dynamics and task goals.
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BooST: Bridging Semantics and Motions for Efficient Skill Transfer
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