About this document
Multi-Agent Language Learning Framework by Sarath Chandar is a document available to read on EtoBox.
The document proposes a framework for developing artificial agents that can learn language through multi-agent cooperation and communication. It studies this approach in the context of referential games, where agents must communicate to identify a target image out of a pair. The agents are able to learn their own language from scratch through repeated interactions in the game. The authors explore how changes to the game environment can influence the properties of the emergent language to better reflect sema
- Author
- Sarath Chandar
- Language
- EN