Artigo Acesso aberto Revisado por pares

A NetHack Learning Environment Language Wrapper for Autonomous Agents

2023; Ubiquity Press; Volume: 11; Linguagem: Inglês

10.5334/jors.444

ISSN

2049-9647

Autores

N.M. Goodger, Peter Vamplew, Cameron Foale, Richard Dazeley,

Tópico(s)

Natural Language Processing Techniques

Resumo

This paper describes a language wrapper for the NetHack Learning Environment (NLE) [1]. The wrapper replaces the non-language observations and actions with comparable language versions. The NLE offers a grand challenge for AI research while MiniHack [2] extends this potential to more specific and configurable tasks. By providing a language interface, we can enable further research on language agents and directly connect language models to a versatile environment.

Referência(s)