Abstract Constraint-based offline reinforcement learning (RL) involves policy constraints or imposing penalties on the value function to mitigate overestimation errors caused by distributional shift. This paper focuses on a limitation in ex... Read More
Dean Jae-Young Sim of the UNIST Graduate School of Artificial Intelligence (AIGS) has been honored with a commendation from the Minister of Science and ICT (MSIT) for his significant contributions to the development of the AI field by culti... Read More
Yonghun Lee, a student in Professor Jimin Lee’s Laboratory (UNIST Artificial Intelligence Graduate School and Department of Nuclear Engineering), has been honored with the Paul Dudley White International Scholar Award at the American... Read More
The Department of Industrial Engineering at UNIST has been selected for the Industrial Innovation Talent Growth Support Project (Overseas), organized by the Korea Institute for Advancement of Technology (KIAT). This initiative aims to overc... Read More
The ability to predict the feasibility of manufacturing parts significantly enhances production efficiency and reduces costs in the manufacturing industry. Leveraging this technology, the laboratory of the Department of Industrial Engineeri... Read More
A research team, led by Professor Seungryul Baek at the Graduate School of Artificial Intelligence, UNIST, has achieved remarkable success in the HANDS workshop challenge, held in conjunction with the 2024 European Conference on Computer Vi... Read More
Abstract Nuclear microreactors (MRs) have attracted significant attention for their versatility in installation locations, especially with the growing demand for sustainable green energy in large data processing facilities. However, ensurin... Read More
The UNIST Artificial Intelligence Graduate School (AIGS) announced the successful completion of the 2024 AI Technology Open Workshop, bringing together academia and industry to explore collaborative models for AI technology development. Thi... Read More
Abstract Albeit the success of federated learning (FL) in decentralized training, bolstering the generalization of models by overcoming heterogeneity across clients still remains a huge challenge. To aim at improved generalization of FL, a... Read More
Four research papers by UNIST researchers have been accepted for presentation at the 2024 Association for the Advancement of Artificial Intelligence (AAAI) conference, a prestigious international academic event in the field of artificial in... Read More
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