Reinforcement Learning-Based Approach for Minimizing Energy Loss of Driving Platoon Decisions.
Zhiru GuZhongwei LiuQi WangQiyun MaoZhikang ShuaiZiji MaPublished in: Sensors (2023)
Keyphrases
- reinforcement learning
- total energy
- decision making
- energy consumption
- decision makers
- function approximation
- energy minimization
- state space
- model free
- energy efficient
- low energy
- multi agent
- neural network
- transportation systems
- making decisions
- multi agent reinforcement learning
- learning algorithm
- decision process
- markov decision processes
- learning process
- control algorithm
- action selection
- supervised learning
- wireless sensor networks
- image segmentation
- robotic control