Papers by Anna Potapenko

1 papers
Multi-agent Communication meets Natural Language: Synergies between Functional and Structural Language Learning (2020.acl-main)

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Challenge: a new method for combining multi-agent communication with traditional data-driven approaches to natural language learning is proposed . we combine the two types of learning with a goal of teaching agents to communicate with humans in natural language.
Approach: They propose a method that combines traditional data-driven approaches to natural language learning with multi-agent self-play environments.
Outcome: The proposed method outperforms other methods in communicating with humans in natural language.

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