Aboudy Kreidieh

According to our database, Aboudy Kreidieh authored at least 7 papers between 2017 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

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

Ashkan Yousefpour, Brian Q. Nguyen, Siddartha Devic, Guanhua Wang, Aboudy Kreidieh, Hans Lobel, Alexandre M. Bayen, Jason P. Jue

CoRR, 2020

2019

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

Ashkan Yousefpour, Siddartha Devic, Brian Q. Nguyen, Aboudy Kreidieh, Alan Liao, Alexandre M. Bayen, Jason P. Jue

CoRR, 2019

2018

Lagrangian Control through Deep-RL: Applications to Bottleneck Decongestion.

Eugene Vinitsky, Kanaad Parvate, Aboudy Kreidieh, Cathy Wu, Alexandre M. Bayen

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Benchmarks for reinforcement learning in mixed-autonomy traffic.

Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, Alexandre M. Bayen

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

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

Cathy Wu, Aboudy Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen

CoRR, 2017

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

Cathy Wu, Eugene Vinitsky, Aboudy Kreidieh, Alexandre M. Bayen

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Emergent Behaviors in Mixed-Autonomy Traffic.

Cathy Wu, Aboudy Kreidieh, Eugene Vinitsky, Alexandre M. Bayen

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017