arxivcs.ROcs.AI2026-07-24
Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability
Yi Liu, Hongda Zhang, Leyao Zou, Chunlei Meng, Ziqing Zhou, Yuning Chen, et al.
Path planning under partial observability remains challenging because an agent must make long-horizon navigation decisions from only locally bounded observations. Nevertheless, historical trajectories contain reusable experience-guided directional preferences. Classical planners,…