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Jong-Min Kim

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#reinforcement learning Open access Sep 2026

Cooperative multi-agent reinforcement learning with entangled state representations and copula-based action coordination for urban navigation

Cooperative multi-agent reinforcement learning (MARL) enables autonomous agents to coordinate in complex spatial environments. This study proposes a MARL framework for goal-directed navigation that integrates entangled state embeddings, copula-based joint action transformations, and a shared reward mechanism. Entangled...

Jong-Min Kim · 0 citations
Open access Aug 2026

A Copula-Tensor Neural Network Framework for High-Dimensional Causal Inference

It is suggested that copula-based feature representations combined with deep learning provide a flexible approach for heterogeneous treatment effect estimation, particularly in high-dimensional settings with complex covariate dependence.

Jong-Min Kim · 0 citations

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