Anti-Disturbance Self-Supervised Reinforcement Learning for Perturbed Car-Following System.
Meng LiZhibin LiShunchao WangBingtong WangPublished in: IEEE Trans. Veh. Technol. (2023)
Keyphrases
- reinforcement learning
- function approximation
- multi agent
- security protection
- artificial intelligence
- multi agent reinforcement learning
- reinforcement learning algorithms
- state space
- model free
- optimal control
- original data
- learning algorithm
- real world
- reinforcement learning methods
- markov decision processes
- supervised learning
- temporal difference
- dynamic programming
- learning capabilities
- control problems
- markov decision process
- control policy
- artificial neural networks
- objective function
- policy search
- neural network
- direct policy search