Reinforcement Learning

Efficient method for estimating the influence of experiences on RL agnet's performance (2023 -- , NEC and AIST)

  • Takuya Hiraoka, Guanquan Wang, Takashi Onishi, Yoshimasa Tsuruoka.
    Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences
    Reinforcement Learning Conference (RLC) / Journal (RLJ), 2025
    poster, slides, source code, demo video 1, demo video 2, arXiv, RLJ version

    • Simple but Efficient Reinforcement Learning Method for Sparse-Reward Goal-Conditioned tasks (2023, NEC and AIST)

  • Takuya Hiraoka.
    Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization
    arXiv:2312.05787, 2023
    source code

    • Very Simple but Doubly Efficient Reinforcement Learning Method (2021, NEC and AIST)

  • Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka.
    Dropout Q-Functions for Doubly Efficient Reinforcement Learning
    The Tenth International Conference on Learning Representations (ICLR), April, 2022
    poster, slide, arXiv version, source code

    • Model Based Meta Reinforcement Learning (2020, NEC, AIST and RIKEN)

  • Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka.
    Meta-Model-Based Meta-Policy Optimization
    The 13th Asian Conference on Machine Learning (ACML), November, 2021
    poster, video presentation, demo video, arXiv version, source code

    • Robust Hierarchical Reinforcement Learning (2019, NEC and AIST)

  • Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka.
    Learning Robust Options by Conditional Value at Risk Optimization
    Thirty-third Conference on Neural Information Processing System (NeurIPS), December 2019

    • Dialogue Systems

    Inquiry Dialogue System (2018, NEC)

  • Takuya Hiraoka, Shota Motoura, Kunihiko Sadamasa, Detecticon: A Prototype Inquiry Dialog System, 9th International Workshop on Spoken Dialog Systems (IWSDS). May 2018

    • Persuasive Dialogue System (~2016, NAIST)

  • Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura, Reinforcement Learning of Cooperative Persuasive Dialogue Policies using Framing, The 25th International Conference on Computational Linguistics (COLING), August 2014

  • Takuya Hiraoka, Yuki Yamauchi, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura, Dialogue Management for Leading the Conversation in Persuasive Dialogue Systems, Automatic Speech Recognition and Understanding Workshop (ASRU), December 2013

    • Example-based Dialogue System (2016, NAIST)

  • Takuya Hiraoka, Graham Neubig, Koichiro Yoshino, Tomoki Toda, Satoshi Nakamura, Active Learning for Example-based Dialog Systems , 7th International Workshop on Spoken Dialog Systems (IWSDS). January 2016, Source code

    • Negotiation Dialogue System (2015, NAIST and USC)

  • Takuya Hiraoka, Kallirroi Georgila, Elnaz Nouri, David Traum, Satoshi Nakamura,
    Reinforcement Learning in Multi-Party Trading Dialog , The 16th Annual SIGdial Meeting on Discourse and Dialogue (SIGDIAL). September 2015, Source code, video recordings and slides