Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning.
Fei YeXuxin ChengPin WangChing-Yao ChanPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- optimal policy
- optimization strategies
- policy search
- optimization algorithm
- control policy
- markov decision process
- action selection
- optimization strategy
- global optimization
- optimization problems
- optimization process
- optimization method
- semi automated
- state space
- lane change
- learning process
- state and action spaces
- approximate dynamic programming
- evolutionary strategy
- actor critic
- partially observable
- neural network
- function approximation
- markov decision processes
- multi agent
- partially observable environments
- reinforcement learning problems
- reward function
- policy gradient
- function approximators
- action space
- reinforcement learning algorithms
- evolutionary algorithm
- machine learning