Search Results for author: Abdul Rahman Kreidieh

Found 8 papers, 2 papers with code

Cooperative Driving for Speed Harmonization in Mixed-Traffic Environments

no code implementations15 Feb 2023 Zhe Fu, Abdul Rahman Kreidieh, Han Wang, Jonathan W. Lee, Maria Laura Delle Monache, Alexandre M. Bayen

Autonomous driving systems present promising methods for congestion mitigation in mixed autonomy traffic control settings.

Autonomous Driving

Non-local Evasive Overtaking of Downstream Incidents in Distributed Behavior Planning of Connected Vehicles

no code implementations29 Jun 2022 Abdul Rahman Kreidieh, Yashar Farid, Kentaro Oguchi

The prevalence of high-speed vehicle-to-everything (V2X) communication will likely significantly influence the future of vehicle autonomy.

Autonomous Driving

Learning energy-efficient driving behaviors by imitating experts

no code implementations28 Jun 2022 Abdul Rahman Kreidieh, Zhe Fu, Alexandre M. Bayen

The rise of vehicle automation has generated significant interest in the potential role of future automated vehicles (AVs).

Imitation Learning

Integrated Framework of Vehicle Dynamics, Instabilities, Energy Models, and Sparse Flow Smoothing Controllers

no code implementations22 Apr 2021 Jonathan W. Lee, George Gunter, Rabie Ramadan, Sulaiman Almatrudi, Paige Arnold, John Aquino, William Barbour, Rahul Bhadani, Joy Carpio, Fang-Chieh Chou, Marsalis Gibson, Xiaoqian Gong, Amaury Hayat, Nour Khoudari, Abdul Rahman Kreidieh, Maya Kumar, Nathan Lichtlé, Sean McQuade, Brian Nguyen, Megan Ross, Sydney Truong, Eugene Vinitsky, Yibo Zhao, Jonathan Sprinkle, Benedetto Piccoli, Alexandre M. Bayen, Daniel B. Work, Benjamin Seibold

This work presents an integrated framework of: vehicle dynamics models, with a particular attention to instabilities and traffic waves; vehicle energy models, with particular attention to accurate energy values for strongly unsteady driving profiles; and sparse Lagrangian controls via automated vehicles, with a focus on controls that can be executed via existing technology such as adaptive cruise control systems.

Inter-Level Cooperation in Hierarchical Reinforcement Learning

1 code implementation5 Dec 2019 Abdul Rahman Kreidieh, Glen Berseth, Brandon Trabucco, Samyak Parajuli, Sergey Levine, Alexandre M. Bayen

This allows us to draw on connections between communication and cooperation in multi-agent RL, and demonstrate the benefits of increased cooperation between sub-policies on the training performance of the overall policy.

Hierarchical Reinforcement Learning reinforcement-learning +1

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