Meta-inverse Reinforcement Learning Method Based on Relative Entropy

• Published in: Ji suan ji ke xue Vol. 48; no. 9; pp. 257 - 263
• Main Author: WU Shao-bo, FU Qi-ming, CHEN Jian-ping, WU Hong-jie, LU You
• Format: Journal Article
• Language: Chinese
• Published: Editorial office of Computer Science 01.09.2021
• Subjects: inverse reinforcement learning|meta-learning|reward function|relative entropy|gradient decent

Aiming at the problem that traditional inverse reinforcement learning algorithms are slow,imprecise,or even unsolvable when solving the reward function owing to insufficient expert demonstration samples and unknown state transition probabilitie,a meta-reinforcement learning method based on relative...