Hikaru Asano
About Me
I am a 2nd-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
- [Sep. 2025] Our paper on LLM’s self-reflection has been accepted to NeurIPS 2025.
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
-
AAMASInternational Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2023.
Publication
International Cenference (Peer-reviewed)
Hikaru Asano, Tadashi Kozuno, Yukino Baba, “Self Iterative Label Refinement via Robust Unlabeled Learning”, The Thirty-Ninth Annual Conference on Neural Information Processing Systems (NeurIPS), 2025, (poster, acceptance rate 24.5%) 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%)
Preprint
Hikaru Asano, Hiroki Ouchi, Akira Kasuga, Ryo Yonetani, "MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering", arXiv preprint, 2025 paper
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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