Solve the inverted pendulum problem base on DQN algorithm

摘要

Inverted pendulum is a classical control problem.Traditional control methods such as PID and fuzzy control can achieve better results.With the rise of artificial intelligence technology, deep learning and reinforcement learning have attracted much attention.Among them, the combination of the two has considerable potential for in-depth reinforcement learning.Q-learning was proposed in 1989 as a classical algorithm in reinforcement learning. In recent years, some scholars proposed the algorithm of Deep learning plus q-learning, Deep Q network(DQN), to solve the problem that q-learning is inherently unable to solve the problem of high-dimensional input, and achieved good results.In this paper, based on VREP simulation environment, DQN is used to try to solve inverted pendulum problem.