Text Based Environment

Text-based environments are virtual worlds represented solely through textual descriptions, serving as platforms for developing and evaluating AI agents capable of complex reasoning and decision-making. Current research focuses on improving agent performance in these environments through techniques like iterative planning, language-guided exploration using large language models (LLMs), and incorporating external knowledge sources such as scene graphs and commonsense reasoning. These advancements are significant because they push the boundaries of AI capabilities in natural language understanding, planning, and knowledge integration, with potential applications in areas like automated fact-checking, interactive storytelling, and intelligent tutoring systems.