Path Following with Deep Reinforcement Learning for Autonomous Cars.
Khaled AlomariRicardo Carrillo MendozaDaniel GoehringRaúl RojasPublished in: ROBOVIS (2021)
Keyphrases
- reinforcement learning
- autonomous learning
- function approximation
- learning capabilities
- learning algorithm
- state space
- cooperative
- obstacle avoidance
- temporal difference
- reinforcement learning algorithms
- semi autonomous
- multi agent reinforcement learning
- autonomous systems
- model free
- robotic systems
- machine learning
- optimal control
- semidefinite programming
- multi agent
- learning process
- evolutionary learning
- autonomous mental development
- robotic control
- policy search
- transition model
- hidden markov models
- temporal difference learning
- dynamic programming
- function approximators
- autonomous navigation
- deep learning
- mobile robot
- supervised learning