Tsunehiko Tanaka

I am a full-time Software Engineer at IBM, where I work on agent memory for watsonx Orchestrate. I am also a part-time Adjunct Researcher at Waseda University, where I earned my Doctor of Engineering degree in March 2026.

My research has focused on sequential decision-making, drawing on RL and NLP. Recently, I have become interested in working memory for embodied agents. I explored this in my work on long-horizon robotic manipulation, combining VLMs with task and motion planning (TAMP).

During my PhD, my research focused on game AI. I explored LLM post-training with GRPO to turn written board game rules into executable DSL programs. I also developed the Return-Aligned Decision Transformer (RADT), an offline RL method for controlling agent performance via a target score, with the aim of tuning AI opponents’ difficulty.

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Publications
EAFG pipeline illustrated with a robot gathering evidence in a kitchen Evidence-Gated Task and Motion Planning with Vision-Language Models
Tsunehiko Tanaka, Matthew Stephenson, Alistair Macvicar, Edgar Simo-Serra
arXiv preprint 2026
paper
Return-Aligned Decision Transformer
Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra
TMLR 2025 J2C Certification (presented at ICML 2026)
paper | code | poster | OpenReview
Grammar and Gameplay-aligned RL for Game Description Generation with LLMs
Tsunehiko Tanaka, Edgar Simo-Serra
IEEE Conference on Games 2025
paper | code | DOI
Grammar-based Game Description Generation using Large Language Models
Tsunehiko Tanaka, Edgar Simo-Serra
IEEE Transactions on Games 2024 (Early Access) Highlight Paper
paper | code | DOI
DiffG-RL: Leveraging Difference between Environment State and Common Sense
Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori
Findings of EMNLP 2022
paper | code | arXiv
Commonsense Knowledge from Scene Graphs for Textual Environments
Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori
AAAI Workshop on Reinforcement Learning in Games 2022
paper | code | IBM Research
Challenges in Explainability and Knowledge Extraction
Daiki Kimura, Tsunehiko Tanaka, Michiaki Tatsubori, Asim Munawar
Wordplay: When Language Meets Games @ NAACL 2022
paper
LoL-V2T: Large-Scale Esports Video Description Dataset
Tsunehiko Tanaka, Edgar Simo-Serra
CVPRW (CVSports) 2021
project | DOI
Patents
    Tsunehiko Tanaka, Daiki Kimura, Michiaki Tatsubori. Extracting enriched target-oriented common sense from grounded graphs to support next step decision making. U.S. Patent 12,555,006, issued February 17, 2026.
Review Activities
    Conference on Robot Learning (CoRL) 2026, IEEE Conference on Games (CoG) 2025
Education
    Waseda University, Tokyo (Apr 2023 - Mar 2026)
    Doctor of Engineering
    Waseda University, Tokyo (Apr 2021 - Mar 2023)
    Master of Engineering
    Waseda University, Tokyo (Apr 2017 - Mar 2021)
    Bachelor of Engineering
Experience
    IBM, Tokyo (Apr 2026 - Present)
    Software Engineer (full-time)
    Contributing to the development of IBM watsonx Orchestrate.
    CyberAgent AI Lab, Tokyo (July 2023 - June 2025)
    Research Intern
    Developed the Return-Aligned Decision Transformer, an offline RL method for tuning an agent's performance with a target score.
    SAP, Tokyo (Sep 2022 - Mar 2023)
    ML Engineer Intern
    Built a prototype in Python and OpenCV to estimate stockpile volume by reconstructing 3D point clouds from photos.
    IBM Research, Tokyo (Aug 2021 - May 2022)
    Research Intern
    Developed DiffG-RL, an agent that uses commonsense knowledge to choose actions in text games. Co-inventor on U.S. Patent 12,555,006, issued in 2026.
    IDAJ Co., LTD., Yokohama (Feb 2021 - Jul 2021)
    ML Engineer Intern
    Surveyed accident prediction technologies for driving and developed a technical roadmap for implementation.
    Celsys.Inc., Tokyo (Aug 2019 - Jan 2021)
    Web Engineer Intern
    Maintained and operated the community website for CLIP STUDIO PAINT using Laravel and Vue.js. Implemented bandit algorithms as benchmarking tools for recommendation engines.
Research Grants and Projects
    Human and AI Understandable Interactive Design Grammars
    (人間とAIが理解できるインタラクション設計文法の構築)
    科学技術振興機構 (JST), Strategic Basic Research Programs, ACT-X, PI. Oct 2023 - Mar 2026.
    project | abstract
    Development of AI Systems that Collaborate with Humans in Designing Digital Content Interactions
    (人間と協力してデジタルコンテンツのインタラクションを設計するAIの構築)
    日本学術振興会 (JSPS), Research Fellowship for Young Scientists, DC2, PI. Apr 2024 - Mar 2026.
    project
    Development of AI Systems that Collaborate with Humans in Designing Digital Content Interactions
    (人間と協力してデジタルコンテンツのインタラクションを設計するAIの構築)
    科学技術振興機構 (JST) Support for Pioneering Research Initiated by the Next Generation, SPRING, PI. Apr 2023 - Mar 2024.
    project
Awards
    Okawa Isao Scholarship for Information and Communication (大川功情報通信学術奨学金) 2024.
    Outstanding Award, Domestic Conference MIRU Young Researcher Program. "倫理審査・人を対象とした実験「AI研究者が配慮すべき倫理とは」" (MIRU若手プログラム優秀賞受賞). 2023. page
    Full Exemption of Japan Student Services Organization Scholarship (日本学生支援機構 第一種奨学金 全額返還免除). 2023.
    Okawa Isao Scholarship for Information and Communication (大川功情報通信学術奨学金). 2022.
    Outstanding Award, Domestic Conference MIRU Young Researcher Program. "研究費の取り方に関するサーベイ" 優秀賞受賞 (MIRU若手プログラム優秀賞受賞). 2022. page
    JGC-SANEYOSHI Scholarship (日揮・実吉奨学会 奨学金). 2022.
    JEES/SoftBank AI Human Resource Development Scholarship (JEES・ソフトバンク AI 人材育成奨学金). 2021.

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