Underwater Multi-Target Node Path Planning in Hybrid Action Space: A Deep Reinforcement Learning Approach

Research article (IEEE Transactions on Mobile Computing, 2024) · cited 12× · AI/ML
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Underwater Multi-Target Node Path Planning in Hybrid Action Space: A Deep Reinforcement Learning Approach

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Underwater Multi-Target Node Path Planning in Hybrid Action Space: A Deep Reinforcement Learning Approach is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Underwater Multi-Target Node Path Planning in Hybrid Action Space: A Deep Reinforcement Learning Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/underwater-multi-target-node-path-planning-in-hybrid-action-space-a-deep-reinforcement-learning-approach
MLA “Underwater Multi-Target Node Path Planning in Hybrid Action Space: A Deep Reinforcement Learning Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/underwater-multi-target-node-path-planning-in-hybrid-action-space-a-deep-reinforcement-learning-approach.
BibTeX @misc{4ortxyz_underwater-multi-target-node-path-planning-in-hybrid-action-space-a-deep-reinforcement-learning-approach_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Underwater Multi-Target Node Path Planning in Hybrid Action Space: A Deep Reinforcement Learning Approach}}, year = {2026}, url = {https://4ort.xyz/entity/underwater-multi-target-node-path-planning-in-hybrid-action-space-a-deep-reinforcement-learning-approach}, note = {Accessed: 2026-05-24}}
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