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Hauptverfasser: Guertler, Leon, Cheng, Bobby, Yu, Simon, Liu, Bo, Choshen, Leshem, Tan, Cheston
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2504.11442
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author Guertler, Leon
Cheng, Bobby
Yu, Simon
Liu, Bo
Choshen, Leshem
Tan, Cheston
author_facet Guertler, Leon
Cheng, Bobby
Yu, Simon
Liu, Bo
Choshen, Leshem
Tan, Cheston
contents TextArena is an open-source collection of competitive text-based games for training and evaluation of agentic behavior in Large Language Models (LLMs). It spans 57+ unique environments (including single-player, two-player, and multi-player setups) and allows for easy evaluation of model capabilities via an online-play system (against humans and other submitted models) with real-time TrueSkill scores. Traditional benchmarks rarely assess dynamic social skills such as negotiation, theory of mind, and deception, creating a gap that TextArena addresses. Designed with research, community and extensibility in mind, TextArena emphasizes ease of adding new games, adapting the framework, testing models, playing against the models, and training models. Detailed documentation of environments, games, leaderboard, and examples are available on https://github.com/LeonGuertler/TextArena and https://www.textarena.ai/.
format Preprint
id arxiv_https___arxiv_org_abs_2504_11442
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle TextArena
Guertler, Leon
Cheng, Bobby
Yu, Simon
Liu, Bo
Choshen, Leshem
Tan, Cheston
Computation and Language
Artificial Intelligence
Machine Learning
Multiagent Systems
TextArena is an open-source collection of competitive text-based games for training and evaluation of agentic behavior in Large Language Models (LLMs). It spans 57+ unique environments (including single-player, two-player, and multi-player setups) and allows for easy evaluation of model capabilities via an online-play system (against humans and other submitted models) with real-time TrueSkill scores. Traditional benchmarks rarely assess dynamic social skills such as negotiation, theory of mind, and deception, creating a gap that TextArena addresses. Designed with research, community and extensibility in mind, TextArena emphasizes ease of adding new games, adapting the framework, testing models, playing against the models, and training models. Detailed documentation of environments, games, leaderboard, and examples are available on https://github.com/LeonGuertler/TextArena and https://www.textarena.ai/.
title TextArena
topic Computation and Language
Artificial Intelligence
Machine Learning
Multiagent Systems
url https://arxiv.org/abs/2504.11442