Self-adaptive Torque Vectoring Controller Using Reinforcement Learning

1 code implementation • 27 Mar 2021 • Shayan Taherian, Sampo Kuutti, Marco Visca, Saber Fallah

It is shown that, torque-vectoring controller with parameter tuning via reinforcement learning performs well on a range of different driving environment e. g., wide range of friction conditions and different velocities, which highlight the advantages of reinforcement learning as an adaptive algorithm for parameter tuning.

Friction reinforcement-learning +1