Hikaru Asano

About Me

I am a Master student at Uviersity of Tokyo.

Research Interests

• Multi-agent Reinforcement Learning: Cooperation in Decentralized Manner
• Computational Social Science: Application of ML for Social Science
• Methodology for Social Science: Crisis of Replication, Qualitative Analysis

News

• [Jun. 2023] Our paper about synesthesia is accepted to ALIFE workshop on Cognitive feelings
• [Mar. 2023] I speak at The Future of STS Research in Japan and Korea: A Networking Workshop for Young Researcher
• [Apr. 2020] Our paper about flextible method for secondary data is accepted to IC2S2
• [Jan. 2022] Our paper about fairness in multi-robot navigation is accepted to AAMAS2023

Education

• D.Sc in Graduate School of Arts and Sciences, The University of Tokyo (2024.4-present)
• M.S in Graduate School of Interdisciplinary Information Studies, The University of Tokyo (2022.4-2024.3)
• B.E in Systems Innovation,Faculty of Engineering, The University of Tokyo (2019.4-2022.3)

Job Experiences

• CyberAgent AI Lab, Part-time Researcher (2023.10-present)
• OMRON SINIC X Corporation, Research Intern (2020.8-2020.9)
• OMRON SINIC X Corporation, Research Intern (2022.3-present)

Recent Work

Publication

International Cenference (Peer-reviewed)

• Eiko Matsuda, Hikaru Asano, Tomoyuki Yuzawa, Osamu Sakura, “Quantitative and Qualitative Analyses on Child’s Animate Tendency”, Cognitive feelings: Towards multi-disciplinary approaches for realizing artificial systems with cognitive capacities (ALIFE 2023 workshop), 2023
• Hikaru Asano, Osamu Sakura, “Rashomon Bound Regression: a Reproducible and Explorable Method for Regression-Based Analysis”, International Conference on Computational Social Science (IC2S2), 2023, (poster)
• Hikaru Asano, Ryo Yonetani, Mai Nishimura, Tadashi Kozuno, “Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation”, International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS), 2023, (oral, acceptance rate 23.3%)

International Conference (Non-reviewed)

• Hikaru Asano, “Data-driven social science considering heterogeneity”, The Future of STS Research in Japan and Korea: A Networking Workshop for Young Researcher, 2023
• Hikaru Asano, “The Creation of Space-time Map by Using Global Geodetic Data”, Kasetsart University-Tomakomai KOSEN Student Conference, 2019

Preprint

• Hikaru Asano, “Sequential Bayesian experimental designs via reinforcement learning”, arXiv preprint, 2022 paper

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