Learning an Efficient and Safe Policy for Highway Driving using Supervised Learning and Reinforcement Learning.
Jingke WangTong YangLi TangYue WangRong XiongPublished in: RCAR (2019)
Keyphrases
- reinforcement learning
- supervised learning
- learning algorithm
- unsupervised learning
- learning process
- learning problems
- optimal policy
- statistical learning
- machine learning
- function approximators
- learning tasks
- training data
- function approximation
- learning systems
- partially observable
- action selection
- kernel based learning
- autonomous learning
- policy search
- markov decision processes
- active learning
- rl algorithms
- actor critic
- reinforcement learning problems
- eligibility traces
- data sets
- reinforcement learning algorithms
- dynamic programming
- robot control
- state action
- temporal difference learning
- training set
- neural network
- partially observable environments