Acting upon Imagination: when to trust imagined trajectories in model based reinforcement learning

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

Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data

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.

reinforcement-learning Reinforcement Learning (RL)