Enhancing Agent Communication and Learning through Action and Language
Not on the map. Why?
Abstract (arXiv)
We introduce a novel category of GC-agents capable of functioning as both teachers and learners. Leveraging action-based demonstrations and language-based instructions, these agents enhance communication efficiency. We investigate the incorporation of pedagogy and pragmatism, essential elements in human communication and goal achievement, enhancing the agents' teaching and learning capabilities. Furthermore, we explore the impact of combining communication modes (action and language) on learning outcomes, highlighting the benefits of a multi-modal approach.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 4 of its 10 references that are in the map. First posted on arXiv 18 Aug 2023.
Builds on
4 of 10 references.
References · 4
- 2020Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Surveycited by 85
- 2020Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanationcited by 3
- 2022Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environmentscited by 2
- 2022Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learningcited by 1
Built on by
Not cited yet.