Deep reinforcement learning (DRL) is a machine learning method based on rewards, which can be extended to solve some complex and realistic decision-making problems. Autonomous driving needs to deal ...

Designing a reward function is never a trivial task when implementing Reinforcement Learning (RL) agents. Instead, it is one of the most crucial steps for ensuring a stable and robust learner. This ...