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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
Project Samples
Categories
Reinforcement Learning FrameworksFollow TextWorld
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