An Advantage Actor-Critic Deep Reinforcement Learning Method for Power Management in HPC Systems. - Fitra Rahmani Khasyah; Kadek Gemilang Santiyuda; Gabriel Kaunang; Faizal Makhrus; Muhammad Alfian Amrizal; Hiroyuki Takizawa (PDCAT, 2022)

Solving biobjective traveling thief problems with multiobjective reinforcement learning. - Gemilang Santiyuda; Retantyo Wardoyo; Reza Pulungan (Appl. Soft Comput., 2024)

Multi-objective reinforcement learning for bi-objective time-dependent pickup and delivery problem with late penalties. - Gemilang Santiyuda; Retantyo Wardoyo; Reza Pulungan; Vincent F. Yu (Eng. Appl. Artif. Intell., 2024)

Neural Network Pruning for Lightweight Metal Corrosion Image Segmentation Models. - Vincent F. Yu; Gemilang Santiyuda; Shih-Wei Lin; Udjianna S. Pasaribu; Yuli Sri Afrianti (IEEE Access, 2025)

MedRoPax: A comprehensive software for solving heterogeneous vehicle routing problem with 3D loading constraints and cardboard box packing for medical supply distribution. - Rudy Prietno; Santana Yuda Pradata; Raka Satya Prasasta; Gemilang Santiyuda; Muhammad Alfian Amrizal; Tri Kuntoro Priyambodo; Vincent F. Yu (Softw. Impacts, 2025)

Improving the Efficiency of a Deep Reinforcement Learning-Based Power Management System for HPC Clusters Using Curriculum Learning. - Thomas Budiarjo; Santana Yuda Pradata; Kadek Gemilang Santiyuda; Muhammad Alfian Amrizal; Reza Pulungan; Hiroyuki Takizawa (CoRR, 2025)