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Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control., , , , and . CoRR, (2017)Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion., , , , and . ITSC, page 759-765. IEEE, (2018)Emergent Behaviors in Mixed-Autonomy Traffic., , , and . CoRL, volume 78 of Proceedings of Machine Learning Research, page 398-407. PMLR, (2017)Benchmarks for reinforcement learning in mixed-autonomy traffic., , , , , , , , and . CoRL, volume 87 of Proceedings of Machine Learning Research, page 399-409. PMLR, (2018)Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles., , , , , , and . CoRR, (2018)Simulation to scaled city: zero-shot policy transfer for traffic control via autonomous vehicles., , , , , , and . ICCPS, page 291-300. ACM, (2019)Zero-Shot Autonomous Vehicle Policy Transfer: From Simulation to Real-World via Adversarial Learning., , , , , , and . CoRR, (2019)On the Approximability of Time Disjoint Walks., , and . COCOA, volume 11346 of Lecture Notes in Computer Science, page 62-78. Springer, (2018)