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Theory and Analysis of Optimal Planning over Long and Infinite Horizons for Achieving Independent Partially-Observable Tasks that Evolve over Time
arXiv - CS - Robotics Pub Date : 2021-02-25 , DOI: arxiv-2102.12633
Anahita Mohseni-Kabir, Manuela Veloso, Maxim Likhachev

We present the theoretical analysis and proofs of a recently developed algorithm that allows for optimal planning over long and infinite horizons for achieving multiple independent tasks that are partially observable and evolve over time.

中文翻译:

实现随时间演变的独立的,部分可观察的任务的长远和无限远的最优计划的理论和分析

我们介绍了最近开发的算法的理论分析和证明,该算法允许在长距离和无限远的范围内进行最佳规划,以实现多个可观察到并随时间演变的独立任务。
更新日期:2021-02-26
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