[HTML][HTML] A Review on Reinforcement Learning-based Highway Autonomous Vehicle Control
Autonomous driving is an active area of research in artificial intelligence and robotics.
Recent advances in deep reinforcement learning (DRL) show promise for training …
Recent advances in deep reinforcement learning (DRL) show promise for training …
Comparative study of cooperative platoon merging control based on reinforcement learning
A Irshayyid, J Chen - Sensors, 2023 - mdpi.com
The time that a vehicle merges in a lane reduction can significantly affect passengers' safety,
comfort, and energy consumption, which can, in turn, affect the global adoption of …
comfort, and energy consumption, which can, in turn, affect the global adoption of …
Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach
M Berahman, M Rostami-Shahrbabaki… - arXiv preprint arXiv …, 2024 - arxiv.org
Deep reinforcement learning has shown promise in various engineering applications,
including vehicular traffic control. The non-stationary nature of traffic, especially in the lane …
including vehicular traffic control. The non-stationary nature of traffic, especially in the lane …
Digital Learning
SURAT PENCATATAN Page 1 an Menteri Hukum dan Hak Asasi Manusia Direktur Jenderal
Kekayaan Intelektual ub Direktur Hak Cipta dan Desain Industri Anggoro Dasananto …
Kekayaan Intelektual ub Direktur Hak Cipta dan Desain Industri Anggoro Dasananto …
[PDF][PDF] Green Energy and Intelligent Transportation
A Irshayyid, J Chen, G Xiong - researchgate.net
Autonomous driving is an active area of research in artificial intelligence and robotics.
Recent advances in deep reinforcement learning (DRL) show promise for training …
Recent advances in deep reinforcement learning (DRL) show promise for training …