A NetHack Learning Environment Language Wrapper for Autonomous Agents
2023; Ubiquity Press; Volume: 11; Linguagem: Inglês
10.5334/jors.444
ISSN2049-9647
AutoresN.M. Goodger, Peter Vamplew, Cameron Foale, Richard Dazeley,
Tópico(s)Natural Language Processing Techniques
ResumoThis 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.
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