Comparison and Deduction of Maximum Entropy Deep Inverse Reinforcement Learning

With the rapid development of the field of artificial intelligence, the application of reinforcement learning has become increasingly crucial in the realm of intelligent decision-making. This paper conducts an in-depth comparative and deductive study of two important algorithms in the field of inverse reinforcement learning, namely, MaxEnt Inverse Reinforcement Learning (MaxEnt IRL) and MaxEnt Deep Inverse Reinforcement Learning (MaxEnt Deep IRL). MaxEnt Deep IRL focuses on the application of deep learning technology. Experiments have proved that the algorithm improvement effect is effective, proving that the proposed solution provides strong support for achieving a higher level of intelligent gaming.