State Description
State description, the process of representing the current condition of a system, is crucial for effective decision-making in diverse fields, from robotics and game playing to conflict resolution and environmental management. Current research focuses on optimizing state representations for efficiency and accuracy, employing techniques like reinforcement learning to select relevant information and diffusion models to guide planning within feasible state spaces. These advancements aim to improve the performance of AI agents, enhance the reliability of conflict analysis, and facilitate the design of sustainable socio-ecological systems by enabling more effective modeling and decision-making processes.
Papers
October 21, 2023
July 21, 2023
January 6, 2023