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cs.LG2026
Where to Start, How to Move: Analyzing Curricula under GRPO for Long-Horizon LLM Agents
Minchan Kim, Sungho Bae, Youngjin Kim +1
Group Relative Policy Optimization (GRPO) provides no reward-relative learning signal when all rollouts receive identical rewards. In long-horizon tasks that require multiple inter…
cs.LG2025
Spatio-Temporal Graphs Beyond Grids: Benchmark for Maritime Anomaly Detection
Jeehong Kim, Youngseok Hwang, Minchan Kim +2
Spatio-temporal graph neural networks (ST-GNNs) have achieved notable success in structured domains such as road traffic and public transportation, where spatial entities can be na…
cs.LG2025
Adaptive Sparsified Graph Learning Framework for Vessel Behavior Anomalies
Jeehong Kim, Minchan Kim, Jaeseong Ju +3
Graph neural networks have emerged as a powerful tool for learning spatiotemporal interactions. However, conventional approaches often rely on predefined graphs, which may obscure…