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Inguk Choi

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Open access Aug 2026

Deep Reinforcement Learning for Reconnaissance Drone Path Planning with Clustered Targets

This research addresses the reconnaissance drone path planning problem that maximizes total reconnaissance value while ensuring at least one target per cluster is visited within flight distance constraints by proposing a deep reinforcement learning approach combining a Graph Attention Network encoder with an attention-...

Ji-Yun Shin, Inguk Choi, Jimin Park et al. · 0 citations
Conference Open access Sep 2026

Preference-Guided Multi-Policy Optimization for Flexible Job Shop Scheduling

PGMPO is proposed, a novel learning framework consisting of a simple but effective multi-policy modeling approach that allows a single network to represent multiple decision-makers, and a preference-driven model optimization method that effectively guides policies to learn diverse and specialized problem-solving strate...

Inguk Choi, Woo-Jin Shin, Sang-Hyun Cho et al. · 0 citations

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