Drone-Assisted Lane Change Maneuver using Reinforcement Learning with Dynamic Reward Function
Author:
Affiliation:
1. Télécom SudParis, Institut Polytechnique de Paris,Palaiseau,France
2. ECE Paris Research Center
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9941349/9941354/09941534.pdf?arnumber=9941534
Reference16 articles.
1. Drone Assisted Vehicular Networks: Architecture, Challenges and Opportunities
2. Human-level control through deep reinforcement learning;volodymyr;Nature,2015
3. Deep Reinforcement Learning with Double Q-Learning
4. Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning
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2. Dynamic Reward in DQN for Autonomous Navigation of UAVs Using Object Detection;2023 9th International Conference on Control, Decision and Information Technologies (CoDIT);2023-07-03
3. Joint Local Reinforcement Learning Agent and Global Drone Cooperation for Collision-Free Lane Change;Future Research Directions in Computational Intelligence;2023-06-23
4. GL-DEAR: Global Dynamic Drone Assisted Lane Change Maneuver for Risk Prevention and Collision Avoidance;ICC 2023 - IEEE International Conference on Communications;2023-05-28
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