A Deep Reinforcement-Learning-based Driving Policy for Autonomous Road Vehicles.
Konstantinos MakantasisMaria KontorinakiIoannis K. NikolosPublished in: CoRR (2019)
Keyphrases
- road vehicles
- reinforcement learning
- optimal policy
- policy search
- autonomous learning
- action selection
- markov decision process
- control policy
- reinforcement learning algorithms
- function approximators
- reward function
- traffic scenes
- state space
- markov decision processes
- action space
- policy gradient
- dynamic programming
- function approximation
- model free
- agent learns
- multi class
- intelligent vehicles