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Abdul Rahman Kreidieh
Abdul Rahman Kreidieh
Bestätigte E-Mail-Adresse bei berkeley.edu
Titel
Zitiert von
Zitiert von
Jahr
Flow: Architecture and benchmarking for reinforcement learning in traffic control
C Wu, A Kreidieh, K Parvate, E Vinitsky, AM Bayen
arXiv preprint arXiv:1710.05465 10, 2017
2582017
Benchmarks for reinforcement learning in mixed-autonomy traffic
E Vinitsky, A Kreidieh, L Le Flem, N Kheterpal, K Jang, C Wu, F Wu, ...
Conference on robot learning, 399-409, 2018
1662018
Flow: A modular learning framework for mixed autonomy traffic
C Wu, AR Kreidieh, K Parvate, E Vinitsky, AM Bayen
IEEE Transactions on Robotics 38 (2), 1270-1286, 2021
1462021
Dissipating stop-and-go waves in closed and open networks via deep reinforcement learning
AR Kreidieh, C Wu, AM Bayen
2018 21st international conference on intelligent transportation systems …, 2018
1332018
Emergent behaviors in mixed-autonomy traffic
C Wu, A Kreidieh, E Vinitsky, AM Bayen
Conference on Robot Learning, 398-407, 2017
1282017
Lagrangian control through deep-rl: Applications to bottleneck decongestion
E Vinitsky, K Parvate, A Kreidieh, C Wu, A Bayen
2018 21st International Conference on Intelligent Transportation Systems …, 2018
1102018
Flow: Deep reinforcement learning for control in sumo
N Kheterpal, K Parvate, C Wu, A Kreidieh, E Vinitsky, A Bayen
EPiC Series in Engineering 2, 134-151, 2018
602018
Guardians of the deep fog: Failure-resilient DNN inference from edge to cloud
A Yousefpour, S Devic, BQ Nguyen, A Kreidieh, A Liao, AM Bayen, JP Jue
Proceedings of the first international workshop on challenges in artificial …, 2019
262019
Unified automatic control of vehicular systems with reinforcement learning
Z Yan, AR Kreidieh, E Vinitsky, AM Bayen, C Wu
IEEE Transactions on Automation Science and Engineering 20 (2), 789-804, 2022
252022
Integrated framework of vehicle dynamics, instabilities, energy models, and sparse flow smoothing controllers
JW Lee, G Gunter, R Ramadan, S Almatrudi, P Arnold, J Aquino, ...
Proceedings of the Workshop on Data-Driven and Intelligent Cyber-Physical …, 2021
222021
Multi‐receptive field graph convolutional neural networks for pedestrian detection
C Shen, X Zhao, X Fan, X Lian, F Zhang, AR Kreidieh, Z Liu
IET Intelligent Transport Systems 13 (9), 1319-1328, 2019
202019
Inter-level cooperation in hierarchical reinforcement learning
AR Kreidieh, G Berseth, B Trabucco, S Parajuli, S Levine, AM Bayen
arXiv preprint arXiv:1912.02368, 2019
152019
Multi-lane reduction: A stochastic single-lane model for lane changing
C Wu, E Vinitsky, A Kreidieh, A Bayen
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
142017
Flow: Open source reinforcement learning for traffic control
N Kheterpal, E Vinitsky, C Wu, A Kreidieh, K Jang, K Parvate, A Bayen
82018
Failout: Achieving failure-resilient inference in distributed neural networks
A Yousefpour, BQ Nguyen, S Devic, G Wang, A Kreidieh, H Lobel, ...
arXiv preprint arXiv:2002.07386, 2020
72020
Cooperative driving for speed harmonization in mixed-traffic environments
Z Fu, AR Kreidieh, H Wang, JW Lee, ML Delle Monache, AM Bayen
2023 IEEE Intelligent Vehicles Symposium (IV), 1-8, 2023
62023
Traffic control via connected and automated vehicles: An open-road field experiment with 100 cavs
JW Lee, H Wang, K Jang, A Hayat, M Bunting, A Alanqary, W Barbour, ...
arXiv preprint arXiv:2402.17043, 2024
52024
Traffic smoothing via connected & automated vehicles: A modular, hierarchical control design deployed in a 100-cav flow smoothing experiment
JW Lee, H Wang, K Jang, A Hayat, M Bunting, A Alanqary, W Barbour, ...
IEEE Control Systems Magazine, 2024
52024
Resilinet: Failure-resilient inference in distributed neural networks
A Yousefpour, BQ Nguyen, S Devic, G Wang, A Kreidieh, H Lobel, ...
arXiv preprint arXiv:2002.07386, 2020
52020
Learning energy-efficient driving behaviors by imitating experts
AR Kreidieh, Z Fu, AM Bayen
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
32022
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