Aboudy Kreidieh

Flow: A Modular Learning Framework for Autonomy in Traffic.

Eugene Vinitsky, Cathy Wu, Aboudy Kreidieh, 2017 .

ResiliNet: Failure-Resilient Inference in Distributed Neural Networks

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

Failout: Achieving Failure-Resilient Inference in Distributed Neural Networks pdf

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

Flow: Deep Reinforcement Learning for Control in SUMO

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

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).

Benchmarks for reinforcement learning in mixed-autonomy traffic

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

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: Open Source Reinforcement Learning for Traffic Control

Alexandre M. Bayen, Eugene Vinitsky, Cathy Wu, 2018 .

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

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

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).