Tuning Path Tracking Controllers for Autonomous Cars Using Reinforcement Learning.
Ana CarrascoJoão Silva SequeiraPublished in: CoRR (2023)
Keyphrases
- reinforcement learning
- autonomous learning
- particle filter
- function approximation
- state space
- real time
- object tracking
- learning capabilities
- appearance model
- particle filtering
- multi agent
- mean shift
- shortest path
- reinforcement learning algorithms
- cooperative
- markov decision processes
- optimal policy
- kalman filter
- visual tracking
- robust tracking
- control system
- model free
- adaptive control
- action space
- policy search
- autonomous navigation
- motion tracking
- moving target
- optimal control
- robotic systems
- motion model
- learning algorithm
- machine learning
- neural network