Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions

Research article (2023 IEEE International Conference on Robotics and Automation (ICRA), 2023) · cited 21× · AI/ML
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Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions

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Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions. Retrieved May 24, 2026, from https://4ort.xyz/entity/distributed-potential-ilqr-scalable-game-theoretic-trajectory-planning-for-multi-agent-interactions
MLA “Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/distributed-potential-ilqr-scalable-game-theoretic-trajectory-planning-for-multi-agent-interactions.
BibTeX @misc{4ortxyz_distributed-potential-ilqr-scalable-game-theoretic-trajectory-planning-for-multi-agent-interactions_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Distributed Potential iLQR: Scalable Game-Theoretic Trajectory Planning for Multi-Agent Interactions}}, year = {2026}, url = {https://4ort.xyz/entity/distributed-potential-ilqr-scalable-game-theoretic-trajectory-planning-for-multi-agent-interactions}, note = {Accessed: 2026-05-24}}
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