Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives

Research article (2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022) · cited 21× · AI/ML
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Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives

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Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-based-robot-navigation-in-dynamic-environments-using-occupancy-values-of-motion-primitives
MLA “Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-based-robot-navigation-in-dynamic-environments-using-occupancy-values-of-motion-primitives.
BibTeX @misc{4ortxyz_deep-reinforcement-learning-based-robot-navigation-in-dynamic-environments-using-occupancy-values-of-motion-primitives_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Reinforcement Learning based Robot Navigation in Dynamic Environments using Occupancy Values of Motion Primitives}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-based-robot-navigation-in-dynamic-environments-using-occupancy-values-of-motion-primitives}, note = {Accessed: 2026-05-24}}
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