A proof of imitation of Wasserstein inverse reinforcement learning for multi-objective optimization

Akira Kitaoka; Riki Eto

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arXiv · 2305.10089

A proof of imitation of Wasserstein inverse reinforcement learning for multi-objective optimization

Akira Kitaoka·Riki Eto

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Abstract

We prove Wasserstein inverse reinforcement learning enables the learner's reward values to imitate the expert's reward values in a finite iteration for multi-objective optimizations. Moreover, we prove Wasserstein inverse reinforcement learning enables the learner's optimal solutions to imitate the expert's optimal solutions for multi-objective optimizations with lexicographic order.

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Akira Kitaoka, Riki Eto. 2023-05-17. A proof of imitation of Wasserstein inverse reinforcement learning for multi-objective optimization. https://arxiv.org/abs/2305.10089

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