GAIL
Generative Adversarial Imitation Learning
2000년 도입 · 논문 41편에서 사용
Generative Adversarial Imitation Learning presents a new general framework for directly extracting a policy from data, as if it were obtained by reinforcement learning following inverse reinforcement learning.
출처: Generative Adversarial Imitation Learning
소개 논문: Generative Adversarial Imitation Learning
Adversarial Training · General