A Deep Reinforcement Learning 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
- traffic scenes
- function approximators
- policy gradient
- control policy
- function approximation
- state space
- markov decision processes
- intelligent vehicles
- reinforcement learning algorithms
- reward function
- action space
- ground plane
- agent learns
- machine learning
- video sequences
- dynamic programming
- temporal difference
- model free