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Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles.

, , , , , , and . AAMAS, page 1744-1746. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)

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Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning., , , , and . AAMAS, page 764-772. ACM, (2021)Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination., and . AAMAS, page 853-861. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Internally-actuated rovers for all-access surface mobility: Theory and experimentation., , , , , , and . ICRA, page 5481-5488. IEEE, (2013)Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning., , , and . ICRA, page 5511-5517. IEEE, (2022)Flying Smartphones: When Portable Computing Sprouts Wings., , and . IEEE Pervasive Comput., 15 (3): 83-88 (2016)Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research., , , , , and . HPEC, page 1-9. IEEE, (2020)Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions., , and . CDC, page 3366-3371. IEEE, (2023)Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles., , , , , , and . AAMAS, page 1744-1746. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), (2022)Learned Risk Metric Maps for Kinodynamic Systems., , and . ICRA, page 961-967. IEEE, (2023)A machine learning approach for real-time reachability analysis., , , and . IROS, page 2202-2208. IEEE, (2014)