Improving wet clutch engagement with reinforcement learning.
Kevin Van VaerenberghAbdel RodríguezMatteo GaglioloPeter VrancxAnn NowéJulian StoevStijn GoossensGregory PinteWim SymensPublished in: IJCNN (2012)
Keyphrases
- reinforcement learning
- function approximation
- machine learning
- learning environment
- electro mechanical
- markov decision processes
- neural network
- robotic control
- robot control
- temporal difference
- model free
- state space
- multi agent
- learning algorithm
- real world
- supervised learning
- transfer learning
- dynamic programming
- learning process
- website
- real time