Weijia Li

An Investigation on Reinforcement Learning Approaches to Maze Solving

This paper summarizes the maze solving methods based on RL and mainly includes seven categories: Deep Q-Networks, Quantum Reinforcement Learning(QRL), Hierarchical RL, Curriculum Learning, Reward Shaping, Transfer Learning, and Multi-Agent RL.