Adversarial Training

Generative Adversarial Imitation Learning

Introduced by Ho et al. in Generative Adversarial Imitation Learning

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.

Source: Generative Adversarial Imitation Learning

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