Robust Multi-Agent Reinforcement Learning Method Based on Adversarial Domain Randomization for Real-World Dual-UAV Cooperation

Research article (IEEE Transactions on Intelligent Vehicles, 2023) · cited 36× · AI/ML
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Robust Multi-Agent Reinforcement Learning Method Based on Adversarial Domain Randomization for Real-World Dual-UAV Cooperation

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Robust Multi-Agent Reinforcement Learning Method Based on Adversarial Domain Randomization for Real-World Dual-UAV Cooperation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Robust Multi-Agent Reinforcement Learning Method Based on Adversarial Domain Randomization for Real-World Dual-UAV Cooperation. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-multi-agent-reinforcement-learning-method-based-on-adversarial-domain-randomization-for-real-world-dual-uav-coope
MLA “Robust Multi-Agent Reinforcement Learning Method Based on Adversarial Domain Randomization for Real-World Dual-UAV Cooperation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-multi-agent-reinforcement-learning-method-based-on-adversarial-domain-randomization-for-real-world-dual-uav-coope.
BibTeX @misc{4ortxyz_robust-multi-agent-reinforcement-learning-method-based-on-adversarial-domain-randomization-for-real-world-dual-uav-coope_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust Multi-Agent Reinforcement Learning Method Based on Adversarial Domain Randomization for Real-World Dual-UAV Cooperation}}, year = {2026}, url = {https://4ort.xyz/entity/robust-multi-agent-reinforcement-learning-method-based-on-adversarial-domain-randomization-for-real-world-dual-uav-coope}, note = {Accessed: 2026-05-24}}
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