no code implementations • 12 Nov 2021 • Parth Kothari, Christian Perone, Luca Bergamini, Alexandre Alahi, Peter Ondruska
Despite promising progress in reinforcement learning (RL), developing algorithms for autonomous driving (AD) remains challenging: one of the critical issues being the absence of an open-source platform capable of training and effectively validating the RL policies on real-world data.