no code implementations • 12 May 2021 • Adrian Remonda, Eduardo Veas, Granit Luzhnica
Additionally, we introduce methods that exploit the forward propagation of the dynamics model to evaluate if the remainder of the plan aligns with expected results and assess the remainder of the plan in terms of the expected reward.
Model-based Reinforcement Learning Model Predictive Control +2
no code implementations • 22 Apr 2021 • Adrian Remonda, Sarah Krebs, Eduardo Veas, Granit Luzhnica, Roman Kern
This paper explores the use of reinforcement learning (RL) models for autonomous racing.