Guided Policy Search for Parameterized Skills using Adverbs
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Abstract (arXiv)
We present a method for using adverb phrases to adjust skill parameters via learned adverb-skill groundings. These groundings allow an agent to use adverb feedback provided by a human to directly update a skill policy, in a manner similar to traditional local policy search methods. We show that our method can be used as a drop-in replacement for these policy search methods when dense reward from the environment is not available but human language feedback is. We demonstrate improved sample efficiency over modern policy search methods in two experiments.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 12 of its 38 references that are in the map. First posted on arXiv 23 Oct 2021.
Builds on
12 of 38 references.
References · 12
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Citing papers per year: 2024: 1.
1 paper.
- 2024Skill Generalization with Verbscited by 0
- 2024Skill Generalization with Verbs18 Oct 2024