A Maximum Entropy Inverse Reinforcement Learning Algorithm for Automatic Parking

Reinforcement learning is applied to automatic parking in order to eliminate errors caused by dead reckoning and path tracking during automatic parking. However, the reinforcement learning method has the problem of manually setting the reward function, and the learning network is difficult to converge and easily falls into local optimum. By maximum entropy inverse reinforcement learning, the rewar...