Sim-to-real transfer of active suspension control using deep reinforcement learning.
Viktor WibergErik WallinArvid FälldinTobias SembergMorgan RossanderEddie WadbroMartin ServinPublished in: Robotics Auton. Syst. (2024)
Keyphrases
- reinforcement learning
- control problems
- optimal control
- transfer learning
- control system
- control policy
- learning algorithm
- robot control
- process control
- function approximation
- learning problems
- supervised learning
- control policies
- learning process
- adaptive control
- temporal difference
- active control
- real world
- robotic control
- control strategies
- knowledge transfer
- control method
- dynamic programming
- real life
- machine learning