LLM-Planning-Papers
Explore the latest research on Large Language Models (LLMs) and their capabilities in planning for embodied agents. This curated list includes essential papers that explore LLMs as zero-shot planners, their role in complex reasoning, and task planning enhancements. Understand recent progress and benchmarks that illustrate the potential of LLMs in executing actions in multi-tasking and open-world scenarios. Each paper provides insights and applications that demonstrate LLMs' strategic importance in addressing real-world issues, making it a valuable resource for researchers and professionals interested in LLM-driven planning and decision-making.
