RDDRL: a recurrent deduction deep reinforcement learning model for multimodal vision-robot navigation

Research article (Applied Intelligence, 2023) · cited 22× · AI/ML
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RDDRL: a recurrent deduction deep reinforcement learning model for multimodal vision-robot navigation

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RDDRL: a recurrent deduction deep reinforcement learning model for multimodal vision-robot navigation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). RDDRL: a recurrent deduction deep reinforcement learning model for multimodal vision-robot navigation. Retrieved May 24, 2026, from https://4ort.xyz/entity/rddrl-a-recurrent-deduction-deep-reinforcement-learning-model-for-multimodal-vision-robot-navigation
MLA “RDDRL: a recurrent deduction deep reinforcement learning model for multimodal vision-robot navigation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rddrl-a-recurrent-deduction-deep-reinforcement-learning-model-for-multimodal-vision-robot-navigation.
BibTeX @misc{4ortxyz_rddrl-a-recurrent-deduction-deep-reinforcement-learning-model-for-multimodal-vision-robot-navigation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RDDRL: a recurrent deduction deep reinforcement learning model for multimodal vision-robot navigation}}, year = {2026}, url = {https://4ort.xyz/entity/rddrl-a-recurrent-deduction-deep-reinforcement-learning-model-for-multimodal-vision-robot-navigation}, note = {Accessed: 2026-05-24}}
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