# Enhancing Agent Communication and Learning through Action and Language

arXiv: https://arxiv.org/abs/2308.10842 · HTML: https://mlsanity.com/paper/2308.10842/

## 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 (most cited first, 4 of 4)

- [Autotelic Agents with Intrinsically Motivated Goal-Conditioned Reinforcement Learning: a Short Survey](https://mlsanity.com/paper/2012.09830/) (2020)
- [Show or Tell? Demonstration is More Robust to Changes in Shared Perception than Explanation](https://mlsanity.com/paper/2012.09035/) (2020)
- [Pragmatically Learning from Pedagogical Demonstrations in Multi-Goal Environments](https://mlsanity.com/paper/2206.04546/) (2022)
- [Overcoming Referential Ambiguity in Language-Guided Goal-Conditioned Reinforcement Learning](https://mlsanity.com/paper/2209.12758/) (2022)

## 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.