Hikaru Asano
About Me
I am a 1st-year Phd student at Uviersity of Tokyo.
Research Interests
- Multi-agent Reinforcement Learning: Cooperation in Decentralized Manner
- Computational Social Science: Application of ML for Social Science
- LLM for Behavior Understanding Replication of Human Behavior and Utilizing Common Sense Reasoning
News
- [Aug. 2023] Our paper Human trajectory captioning has been accepted to INLG 2024.
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 (2022.3-2023.8)
- OMRON SINIC X Corporation, Research Intern (2020.8-2020.9)
Recent Work
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AAMASInternational Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023.
Publication
International Cenference (Peer-reviewed)
Hikaru Asano, Ryo Yonetani, Taiki Sekii, Hiroki Ouchi, “Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories”, International Natural Language Generation Conference (INLG), 2024, (long paper) 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
Awards and Honors
Scholarship and Grant
Research RA in Value Exchange Engineering by RIISE@UTokyo, ¥2,000,000, 2023–2024. The foundation Matsuo Scholarship Society (Scholarship and commuting expenses grant, free accommodation in student dormitories, provision of meals (free), health insurance expenses grant), total amount granted: approximately ¥5,000,000, 2019–2023.
Academic Award
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