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Robust Policy Learning via Offline Skill Diffusion
These skills, learned task-agnostically from offline datasets, can accelerate the policy learning process for new tasks.
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill
One-shot imitation is to learn a new task from a single demonstration, yet it is a challenging problem to adopt it for complex tasks with the high domain diversity inherent in a non-stationary environment.
SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation
In these cross-domain settings, we present a semantic skill translator framework SemTra which utilizes a set of multi-modal models to extract skills from the snippets, and leverages the reasoning capabilities of a pretrained language model to adapt these extracted skills to the target domain.
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