text-based games

Text-based games are important tools for evaluating the capabilities of reinforcement learning agents. These games simulate complex environments and interaction scenarios through natural language processing techniques, aiming to test the agent's performance in understanding, reasoning, and decision-making. The goal is to enhance the agent's adaptability and intelligence in open-ended and dynamic tasks, which holds significant research and application value.