Meta-inverse Reinforcement Learning Method Based on Relative Entropy
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...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial office of Computer Science
2021-09-01
|
| Series: | Jisuanji kexue |
| Subjects: | |
| Online Access: | http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-257.pdf |