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20232026
most citedDeep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions

1 citations · 1 across the 3 of their papers we have counts for

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cs.CV2023

LeTFuser: Light-weight End-to-end Transformer-Based Sensor Fusion for Autonomous Driving with Multi-Task Learning

Pedram Agand, Mohammad Mahdavian, Manolis Savva +1

In end-to-end autonomous driving, the utilization of existing sensor fusion techniques and navigational control methods for imitation learning proves inadequate in challenging situ…

eess.SY2023★ 1 cited

Deep Reinforcement Learning-based Intelligent Traffic Signal Controls with Optimized CO2 emissions

Pedram Agand, Alexey Iskrov, Mo Chen

Nowadays, transportation networks face the challenge of sub-optimal control policies that can have adverse effects on human health, the environment, and contribute to traffic conge…