most citedProvably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation

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cs.LG2021★ 1 cited

Provably Efficient Generative Adversarial Imitation Learning for Online and Offline Setting with Linear Function Approximation

Zhihan Liu, Yufeng Zhang, Zuyue Fu +2

In generative adversarial imitation learning (GAIL), the agent aims to learn a policy from an expert demonstration so that its performance cannot be discriminated from the expert p…