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Deterministic and Discriminative Imitation (D2-Imitation): Revisiting Adversarial Imitation for Sample Efficiency
[article]
2022
arXiv
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We revisit the foundation of adversarial imitation and propose an off-policy sample efficient approach that requires no adversarial training or min-max optimization. ...
Combined, these insights yield a practical algorithm, Deterministic and Discriminative Imitation (D2-Imitation), which operates by first partitioning samples into two replay buffers and then learning a ...
In this paper, we revisit the foundation of adversarial imitation and propose an off-policy learning approach, Deterministic and Discriminative Imitation (D2-Imitation), that involves no adversarial training ...
arXiv:2112.06054v3
fatcat:zjmy7id6kbbzder67tx4jqesqi