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تسجيل مستخدم جديدRisk-Sensitive Generative Adversarial Imitation Learning
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We study risk-sensitive imitation learning where the agents goal is to perform at least as well as the expert in terms of a risk profile. We first formulate our risk-sensitive imitation learning setting. We consider the generative adversarial approach to imitation learning (GAIL) and derive an optimization problem for our formulation, which we call it risk-sensitive GAIL (RS-GAIL). We then derive two differe
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