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C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
Generative Adversarial Imitation Learning (GAIL) trains a generative policy to mimic a demonstrator.
Stabilizing GANs' Training with Brownian Motion Controller
We theoretically prove that the training process of DiracGANs-BMC is globally exponential stable and derive bounds on the rate of convergence.
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