Data-driven Deep Reinforcement Learning for Automated Driving.
Avinash PrabuLingxi LiYaobin ChenBrian KingPublished in: ITSC (2023)
Keyphrases
- data driven
- reinforcement learning
- function approximation
- temporal difference
- dynamic programming
- robotic control
- machine learning
- multi agent
- learning process
- state space
- optimal policy
- learning algorithm
- stochastic approximation
- artificial neural networks
- active learning
- website
- least squares
- knowledge base
- transfer learning
- radial basis function
- information systems
- real robot
- information retrieval