I am a PhD candidate at TTIC, an academic institute located on the campus of the University of Chicago.
My research interest lies in the intersection of Reinforcement Learning and Natural Language Processing, especially in the context of robotics.

In the past, I have interned at several places including UCL (2018 summer) and Preferred Networks (2019 summer) which is known for Chainer.

I am now at Robot Intelligence through Perception Lab working with Ge Yang, Bradly Stadie and Matthew R. Walter.
TTIC featured me recently: Takuma Yoneda - Student Highlight

Publications (Google Scholar)

• Invariance Through Latent Alignment
  Takuma Yoneda*, Ge Yang*, Bradly Stadie, and Matthew R. Walter,
  To appear in RSS 2022
  [website]

• A Robot Cluster for Reproducible Research in Dexterous Manipulation
  Stefan Bauer, Felix Widmaier, Manuel Wüthrich, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Charles Schaff, Takahiro Maeda, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Annika Buchholz, Sebastian Stark, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, and Bernhard Schölkopf,
  arXiv:2109.10957 2021

• Benchmarking Structured Policies and Policy Optimization for Real-World Dexterous Object Manipulation
  Niklas Funk*, Charles Schaff*, Rishabh Madan*, Takuma Yoneda*, Julen Urain De Jesus, Joe Watson, Ethan K. Gordon, Felix Widmaier, Stefan Bauer, Siddhartha S. Srinivasa, Tapomayukh Bhattacharjee, Matthew R. Walter, and Jan Peters,
  IEEE Robotics and Automation Letters 2021
  [website] [code]

• Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
  Takuma Yoneda*, Charles Schaff*, Takahiro Maeda, and Matthew Walter,
  arXiv:2101.02842 2021

• Pow-Wow: A Dataset and Study on Collaborative Communication in Pommerman
  Takuma Yoneda, Matthew Walter, and Jason Naradowsky,
  the First Workshop on Language in Reinforcement Learning (LaReL), ICML 2020
  [website]

• UCL Machine Reading Group: Four Factor Framework For Fact Finding (HexaF)
  Takuma Yoneda, Jeff Mitchell, Johannes Welbl, Pontus Stenetorp and Sebastian Riedel,
  Proceedings of the First Workshop on Fact Extraction and VERification (FEVER), EMNLP 2018
  ( We got the 2nd place in the competition. )

• Bib2vec: Embedding-based Search System for Bibliographic Information
  Takuma Yoneda, Koki Mori, Makoto Miwa, and Yutaka Sasaki,
  EACL 2017

Internships

• Preferred Networks, Inc. (Tokyo, Japan; 2019 Summer)
  Deep Reinforcement Learning for multi-agent cooperative game with communication.

• University College London (Machine Reading Group) (London, UK; 2018 Summer)
  Led a project on Fact-Extraction and VERification (FEVER) shared task. We got the 2nd place in the competition.

• VASILY, Inc. (acquired by ZOZO Technologies, Inc) (Tokyo, Japan; 2017 Summer)
  Learning a joint embedding space for images and descriptions to realize a multi-modal search system.

• Yamaha Motor Corporation (Shizuoka, Japan; 2017 Spring)
  Improving a model to obtain better bounding box in car detection tasks.

Talks

• Work of FEVER(Fact Extraction and VERification) at UCL and Internship experience at RIKEN AIP