Keywords: autonomous driving, reinforcement learning, synthetic data, domain randomization
Abstract: We use synthetic data and a reinforcement learning algorithm to train a driving policy intended to control steering of a full-size real-world vehicle in a number of restricted driving scenarios. The driving policy uses RGB images as input.
0 Replies
Loading