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A Novel Reinforcement Learning Collision Avoidance Algorithm for USVs Based on Maneuvering Characteristics and COLREGs
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Handbook of Marine Craft Hydrodynamics and Motion Control
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Practical issues in temporal difference learning
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Automatic collision avoidance of multiple ships based on deep Q-learning
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A path planning strategy unified with a COLREGS collision avoidance function based on deep reinforcement learning and artificial potential field
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Unmanned surface vehicles: An overview of developments and challenges
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The autonomous navigation and obstacle avoidance for USVs with ANOA deep reinforcement learning method
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Concise deep reinforcement learning obstacle avoidance for underactuated unmanned marine vessels
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A composite learning method for multi-ship collision avoidance based on reinforcement learning and inverse control
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COLREGs-compliant multiship collision avoidance based on deep reinforcement learning
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Collision avoidance for an unmanned surface vehicle using deep reinforcement learning
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Intelligent collision avoidance algorithms for USVs via deep reinforcement learning under COLREGs
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Deep reinforcement learning-based collision avoidance for an autonomous ship
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Learning to Predict by the Methods of Temporal Differences
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Human-level control through deep reinforcement learning
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Mastering the game of Go without human knowledge
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
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First return, then explore
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Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning
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A Formation Autonomous Navigation System for Unmanned Surface Vehicles With Distributed Control Strategy
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Domain Adaptive Ship Detection in Optical Remote Sensing Images
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Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning
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An Autonomous Path Planning Model for Unmanned Ships Based on Deep Reinforcement Learning
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Asynchronous Methods for Deep Reinforcement Learning
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What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Adaptive fusion of multi-source information for USV trajectory planning via deep reinforcement learning
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Robust and Stable Collision Avoidance for Unmanned Surface Vehicles
inferred← citeshttps://doi.org/10.1109/icsrs59833.2023.10381052openalex-snapshot
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inferred← citeshttps://doi.org/10.3389/fmars.2026.1865602openalex-snapshot
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Analysis of Navigator Decision Making through Cognitive Science for the Presentation of a Collision-Avoidance Algorithm for MASSs
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Systematization of Legal Procedures for Collision Avoidance between a Fully Autonomous Ship and a Traditional Manned Ship
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Navigating the Trade-Offs: A Quantitative Analysis of Reinforcement Learning Reward Functions for Autonomous Maritime Collision Avoidance
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Collision Avoidance Pattern with Collective Wisdom: Ship Action Decision-Making Azimuth Map Construction Based on COLREGs
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Intelligent Smart Marine Autonomous Surface Ship Decision System Based on Improved PPO Algorithm
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A Review of Artificial Intelligence-Based Optimization Applications in Traditional Active Maritime Collision Avoidance
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