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Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data.

, , , , and . CP, volume 235 of LIPIcs, page 5:1-5:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)

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Constrained Multiagent Reinforcement Learning for Large Agent Population., , , and . ECML/PKDD (4), volume 13716 of Lecture Notes in Computer Science, page 183-199. Springer, (2022)Multiagent Decision Making For Maritime Traffic Management., , , and . AAAI, page 6171-6178. AAAI Press, (2019)PAS: Probably Approximate Safety Verification of Reinforcement Learning Policy Using Scenario Optimization., and . AAMAS, page 1745-1753. International Foundation for Autonomous Agents and Multiagent Systems / ACM, (2024)Robust Decision Making for Stochastic Network Design., , , and . AAAI, page 3857-3863. AAAI Press, (2016)Learning and Exploiting Shaped Reward Models for Large Scale Multiagent RL., , and . ICAPS, page 588-596. AAAI Press, (2021)Multiagent Coordination Using Graph Structured Mathematical Optimization., and . AAMAS, page 1739-1741. ACM, (2017)Multi Agent Based Dynamic Task Allocation., , and . KES-AMSTA, volume 296 of Advances in Intelligent Systems and Computing, page 171-182. Springer, (2014)Approximate Difference Rewards for Scalable Multigent Reinforcement Learning., , and . AAMAS, page 1655-1657. ACM, (2021)Multiagent Based Algorithmic Approach for Fast Response in Railway Disaster Handling., , and . WI-IAT (2), page 316-319. IEEE Computer Society, (2015)978-1-4673-9618-9.Trajectory Optimization for Safe Navigation in Maritime Traffic Using Historical Data., , , , and . CP, volume 235 of LIPIcs, page 5:1-5:17. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2022)