Deep reinforcement learning for a specific field
Brief introduction: • Online takeout platforms have significantly changed people’s daily life by offering delicious food and time-saving service. An efficient fleet management strategy for an arrangement can dramatically improve delivery efficiency. In this research topic, different machine learning methods such as Q-learning and deep reinforcement learning are used to solve complex decision-making problems. Goal: • Find an approach generating the allocation policy for delivery agents and order distribution strategy for restaurants Tools: • TensorFlow / Keras