most citedFormula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data

14 citations · 14 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2021

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

Adrian Remonda, Eduardo Veas, Granit Luzhnica

Model-based reinforcement learning (MBRL) aims to learn model(s) of the environment dynamics that can predict the outcome of its actions. Forward application of the model yields so…

cs.AI2021★ 14 cited

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

Adrian Remonda, Sarah Krebs, Eduardo Veas +2

This paper explores the use of reinforcement learning (RL) models for autonomous racing. In contrast to passenger cars, where safety is the top priority, a racing car aims to minim…