TextWorld is a learning environment designed to train reinforcement learning agents to play text-based games, where actions and observations are entirely in natural language. Developed by Microsoft Research, TextWorld focuses on language understanding, planning, and interaction in complex, narrative-driven environments. It generates games procedurally, enabling scalable testing of agents’ natural language processing and decision-making abilities.

Features

  • Enables RL agents to play and learn from text-based games
  • Generates customizable and procedurally created game worlds
  • Focuses on natural language understanding and interaction
  • Supports goal-oriented and exploratory game objectives
  • Integrates with RL libraries for language-based agent training
  • Provides evaluation metrics for tracking agent learning and performance

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Additional Project Details

Programming Language

Python

Related Categories

Python Reinforcement Learning Frameworks

Registered

2025-03-13