1. A NetHack Learning Environment Language Wrapper for Autonomous Agents
- Author
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Nikolaj Goodger, Peter Vamplew, Cameron Foale, and Richard Dazeley
- Subjects
autonomous agents ,generalization ,language models ,language representations ,nethack ,reinforcement learning ,transfer learning ,Computer software ,QA76.75-76.765 - Abstract
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.
- Published
- 2023
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