Automated Lane Change Strategy using Proximal Policy Optimization-based Deep Reinforcement Learning.
Fei YeXuxin ChengPin WangChing-Yao ChanJiucai ZhangPublished in: IV (2020)
Keyphrases
- reinforcement learning
- optimal policy
- optimization strategies
- optimization algorithm
- policy search
- action selection
- control policy
- optimization strategy
- markov decision process
- semi automated
- markov decision processes
- optimization process
- transition model
- evolutionary strategy
- partially observable
- allocation strategy
- reinforcement learning problems
- approximate dynamic programming
- markov decision problems
- continuous state spaces
- reinforcement learning algorithms
- function approximators
- action space
- policy iteration
- optimal strategy
- exploration strategy
- function approximation
- global optimization
- state and action spaces
- machine learning
- continuous state
- control policies
- reinforcement learning methods
- long run
- constrained optimization
- optimization method
- genetic algorithm