Aboudy Kreidieh

Flow: Architecture and Benchmarking for Reinforcement Learning in Traffic Control pdf

Alexandre M. Bayen, Eugene Vinitsky, Aboudy Kreidieh, 2017, ArXiv.

Benchmarks for reinforcement learning in mixed-autonomy traffic

Alexandre M. Bayen, Fangyu Wu, Richard Liaw, 2018, CoRL.

Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion

Alexandre M. Bayen, Eugene Vinitsky, Aboudy Kreidieh, 2018, 2018 21st International Conference on Intelligent Transportation Systems (ITSC).

Multi-lane reduction: A stochastic single-lane model for lane changing

Alexandre M. Bayen, Eugene Vinitsky, Aboudy Kreidieh, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

ResiliNet: Failure-Resilient Inference in Distributed Neural Networks

Alexandre M. Bayen, Guanhua Wang, Jason P. Jue, 2020 .

Guardians of the Deep Fog: Failure-Resilient DNN Inference from Edge to Cloud

Alexandre M. Bayen, Jason P. Jue, Aboudy Kreidieh, 2019, Proceedings of the First International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things.

Emergent Behaviors in Mixed-Autonomy Traffic

Alexandre M. Bayen, Eugene Vinitsky, Aboudy Kreidieh, 2017, CoRL.

Flow: Deep Reinforcement Learning for Control in SUMO

Alexandre M. Bayen, Eugene Vinitsky, Aboudy Kreidieh, 2018 .

Flow: A Modular Learning Framework for Autonomy in Traffic.

Eugene Vinitsky, Cathy Wu, Aboudy Kreidieh, 2017 .