Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization. - Tatsuya Matsushima; Hiroki Furuta; Yutaka Matsuo; Ofir Nachum; Shixiang Gu (ICLR, 2021)

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning. - Hiroki Furuta; Tatsuya Matsushima; Tadashi Kozuno; Yutaka Matsuo; Sergey Levine; Ofir Nachum; Shixiang Shane Gu (ICML, 2021)

Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning. - Hiroki Furuta; Tadashi Kozuno; Tatsuya Matsushima; Yutaka Matsuo; Shixiang Shane Gu (NeurIPS, 2021)

Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms. - Hiroki Furuta; Tadashi Kozuno; Tatsuya Matsushima; Yutaka Matsuo; Shixiang Shane Gu (CoRR, 2021)

Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization. - Shixiang Shane Gu; Manfred Diaz; C. Daniel Freeman; Hiroki Furuta; Seyed Kamyar Seyed Ghasemipour; Anton Raichuk; Byron David; Erik Frey; Erwin Coumans; Olivier Bachem (CoRR, 2021)

Generalized Decision Transformer for Offline Hindsight Information Matching. - Hiroki Furuta; Yutaka Matsuo; Shixiang Shane Gu (ICLR, 2022)

Quantitative evaluation of color difference between actual specimens and whole-slide imaging-scanned images calibrated with commercial color charts. - Yusuke Murayama; Tohru Sugiyama; Yoshihiko Ogino; Hiroki Furuta; Takaaki Kambara; Koi Kamisono; Tokiya Abe; Katsura Emoto; Akinori Hashiguchi; Yoichi Kajimura; Michiie Sakamoto (Digital and Computational Pathology, 2022)

A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation. - Hiroki Furuta; Yusuke Iwasawa; Yutaka Matsuo; Shixiang Shane Gu (ICLR, 2023)

Multimodal Web Navigation with Instruction-Finetuned Foundation Models. - Hiroki Furuta; Ofir Nachum; Kuang-Huei Lee; Yutaka Matsuo; Shixiang Shane Gu; Izzeddin Gur (CoRR, 2023)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models. - Open X.-Embodiment Collaboration; Abhishek Padalkar; Acorn Pooley; Ajinkya Jain; Alex Bewley; Alexander Herzog; Alex Irpan; Alexander Khazatsky; Anant Raj; Anikait Singh; Anthony Brohan; Antonin Raffin; et al. (CoRR, 2023)

Language Model Agents Suffer from Compositional Generalization in Web Automation. - Hiroki Furuta; Yutaka Matsuo; Aleksandra Faust; Izzeddin Gur (CoRR, 2023)

Collective Intelligence for 2D Push Manipulations With Mobile Robots. - So Kuroki; Tatsuya Matsushima; Jumpei Arima; Hiroki Furuta; Yutaka Matsuo; Shixiang Shane Gu; Yujin Tang (IEEE Robotics Autom. Lett., 2023)

Multimodal Web Navigation with Instruction-Finetuned Foundation Models. - Hiroki Furuta; Kuang-Huei Lee; Ofir Nachum; Yutaka Matsuo; Aleksandra Faust; Shixiang Shane Gu; Izzeddin Gur (ICLR, 2024)

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. - Izzeddin Gur; Hiroki Furuta; Austin V. Huang; Mustafa Safdari; Yutaka Matsuo; Douglas Eck; Aleksandra Faust (ICLR, 2024)

A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts. - Kuang-Huei Lee; Xinyun Chen; Hiroki Furuta; John F. Canny; Ian Fischer (ICML, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

Geometric-Averaged Preference Optimization for Soft Preference Labels. - Hiroki Furuta; Kuang-Huei Lee; Shixiang Shane Gu; Yutaka Matsuo; Aleksandra Faust; Heiga Zen; Izzeddin Gur (NeurIPS, 2024)

Interpreting Grokked Transformers in Complex Modular Arithmetic. - Hiroki Furuta; Gouki Minegishi; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2024)

Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback. - Hiroki Furuta; Heiga Zen; Dale Schuurmans; Aleksandra Faust; Yutaka Matsuo; Percy Liang; Sherry Yang 001 (CoRR, 2024)

Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web. - Hiroki Furuta; Yutaka Matsuo; Aleksandra Faust; Izzeddin Gur (Trans. Mach. Learn. Res., 2024)

Towards Empirical Interpretation of Internal Circuits and Properties in Grokked Transformers on Modular Polynomials. - Hiroki Furuta; Gouki Minegishi; Yusuke Iwasawa; Yutaka Matsuo (Trans. Mach. Learn. Res., 2024)

Rethinking Evaluation of Sparse Autoencoders through the Representation of Polysemous Words. - Gouki Minegishi; Hiroki Furuta; Yusuke Iwasawa; Yutaka Matsuo (ICLR, 2025)

Inference-Time Text-to-Video Alignment with Diffusion Latent Beam Search. - Yuta Oshima; Masahiro Suzuki 001; Yutaka Matsuo; Hiroki Furuta (CoRR, 2025)

Plan-and-Act: Improving Planning of Agents for Long-Horizon Tasks. - Lutfi Eren Erdogan; Nicholas Lee; Sehoon Kim 001; Suhong Moon; Hiroki Furuta; Gopala Anumanchipalli; Kurt Keutzer; Amir Gholami (CoRR, 2025)

Beyond Induction Heads: In-Context Meta Learning Induces Multi-Phase Circuit Emergence. - Gouki Minegishi; Hiroki Furuta; Shohei Taniguchi; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)

Topology of Reasoning: Understanding Large Reasoning Models through Reasoning Graph Properties. - Gouki Minegishi; Hiroki Furuta; Takeshi Kojima; Yusuke Iwasawa; Yutaka Matsuo (CoRR, 2025)