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A proof of convergence of inverse reinforcement learning for multi-objective optimization
Akira Kitaoka, Riki Eto · 2023-05-10 · via stat.ML updates on arXiv.org

We show the convergence of Wasserstein inverse reinforcement learning for multi-objective optimizations with the projective subgradient method by formulating an inverse problem of the multi-objective optimization problem. In addition, we prove convergence of inverse reinforcement learning (maximum entropy inverse reinforcement learning, guided cost learning) with gradient descent and the projective subgradient method.

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