Proactive Car-Following Using Deep-Reinforcement Learning.
Yi-Tung YenJyun-Jhe ChouChi-Sheng ShihChih-Wei ChenPei-Kuei TsungPublished in: ITSC (2020)
Keyphrases
- reinforcement learning
- state space
- function approximation
- control problems
- learning algorithm
- reinforcement learning algorithms
- model free
- optimal policy
- temporal difference
- markov decision processes
- multi agent reinforcement learning
- multi agent
- dynamic programming
- real time
- learning process
- stochastic approximation
- robotic control
- driving simulator
- agent teamwork
- policy search
- optimal control
- autonomous learning
- robot control
- context aware
- artificial neural networks
- machine learning