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Imitation Learning

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization
Adversarial Imitation Learning alternates between learning a discriminator – which tells apart expert’s demonstrations from …
Conference on Neural Information Processing Systems (NeurIPS),  2020.
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Reinforced Imitation in Heterogeneous Action Space
Reinforced Imitation in Heterogeneous Action Space
Imitation learning is an effective alternative approach to learn a policy when the reward function is sparse. In this paper, we …
Workshop at the Neural Information Processing Systems (NeurIPS),  2018.
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