Uncertainty-aware human-like driving policy learning with deep Bayesian inverse reinforcement learning

Abstract

The application of deep reinforcement learning in driving policy learning for automated vehicles is limited by the difficulty of designing reward functions. Most existing inverse reinforcement lear...