AlphaZero for car controls

In a previous blog, we experimented with reinforcement learning (RL) for solving a car control challenge. We found RL methods had difficulties converging to optimal values, despite being successful in a toy cart simulation. Learning and exploring simultaneously with complex real-world noise is hard.