Hiroki Furuta

Orcid: 0009-0002-7209-810X

According to our database1, Hiroki Furuta authored at least 17 papers between 2021 and 2024.

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Bibliography

2024
Geometric-Averaged Preference Optimization for Soft Preference Labels.
CoRR, 2024

Interpreting Grokked Transformers in Complex Modular Arithmetic.
CoRR, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

A Human-Inspired Reading Agent with Gist Memory of Very Long Contexts.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multimodal Web Navigation with Instruction-Finetuned Foundation Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Collective Intelligence for 2D Push Manipulations With Mobile Robots.
IEEE Robotics Autom. Lett., May, 2023

Language Model Agents Suffer from Compositional Generalization in Web Automation.
CoRR, 2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
CoRR, 2023

Multimodal Web Navigation with Instruction-Finetuned Foundation Models.
CoRR, 2023

A System for Morphology-Task Generalization via Unified Representation and Behavior Distillation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Generalized Decision Transformer for Offline Hindsight Information Matching.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Braxlines: Fast and Interactive Toolkit for RL-driven Behavior Engineering beyond Reward Maximization.
CoRR, 2021

Identifying Co-Adaptation of Algorithmic and Implementational Innovations in Deep Reinforcement Learning: A Taxonomy and Case Study of Inference-based Algorithms.
CoRR, 2021

Co-Adaptation of Algorithmic and Implementational Innovations in Inference-based Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Policy Information Capacity: Information-Theoretic Measure for Task Complexity in Deep Reinforcement Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Deployment-Efficient Reinforcement Learning via Model-Based Offline Optimization.
Proceedings of the 9th International Conference on Learning Representations, 2021


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