Open AccessUtilizing Reinforcement Learning to Continuously Improve a Primitive-Based Motion Planner
Author(s) -
Zachary Goddard,
Kenneth Wardlaw,
Kyle Williams,
Julie Parish,
Anirban Mazumdar
Publication year - 2022
Publication title -
journal of aerospace information systems
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.437
H-Index - 33
ISSN - 2327-3097
DOI - 10.2514/1.i011044
Subject(s) - computer science , motion planning , reinforcement learning , heuristics , planner , artificial intelligence , path (computing) , obstacle avoidance , task (project management) , process (computing) , robot , mobile robot , programming language , engineering , operating system , systems engineering
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