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IRIS: An information path planning method based on reinforcement learning and information-directed sampling
DOI:10.1016/j.patcog.2025.112400.png)
Abstract
En 中文
• A new path planning method combining reinforcement learning and information-directed sampling for uncertain environments. • Demonstrated that off-policy algorithms are optimal for integration with Information-Directed Sampling. • Validated the method’s effectiveness in diverse test environments.
Journal
IF:
7.6
Papers:
1.3W
Citations:
4.5W

