| Dropout Q-Functions for Doubly Efficient Reinforcement Learning T Hiraoka, T Imagawa, T Hashimoto, T Onishi, Y Tsuruoka ICLR 2022, 2021 | 105 | 2021 |
| Learning robust options by conditional value at risk optimization T Hiraoka, T Imagawa, T Mori, T Onishi, Y Tsuruoka NeurIPS 2019, 2019 | 38 | 2019 |
| Reinforcement Learning of Cooperative Persuasive Dialogue Policies using Framing T Hiraoka, G Neubig, S Sakti, T Toda, S Nakamura COLING, 1706-1717, 2014 | 31 | 2014 |
| Dialogue state tracking using long short term memory neural networks K Yoshino, T Hiraoka, G Neubig, S Nakamura Proceedings of Seventh International Workshop on Spoken Dialog Systems, 1-8, 2016 | 26 | 2016 |
| Learning cooperative persuasive dialogue policies using framing T Hiraoka, G Neubig, S Sakti, T Toda, S Nakamura Speech Communication 84, 83-96, 2016 | 20 | 2016 |
| Construction and analysis of a persuasive dialogue corpus T Hiraoka, G Neubig, S Sakti, T Toda, S Nakamura Situated Dialog in Speech-Based Human-Computer Interaction, 125-138, 2016 | 16 | 2016 |
| Cross-sentence n-ary relation extraction using lower-arity universal schemas K Akimoto, T Hiraoka, K Sadamasa, M Niepert EMNLP-IJCNLP 2019, 6225-6231, 2019 | 15 | 2019 |
| Active learning for example-based dialog systems T Hiraoka, G Neubig, K Yoshino, T Toda, S Nakamura Dialogues with Social Robots: Enablements, Analyses, and Evaluation, 67-78, 2017 | 15 | 2017 |
| Dialogue management for leading the conversation in persuasive dialogue systems T Hiraoka, Y Yamauchi, G Neubig, S Sakti, T Toda, S Nakamura 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 114-119, 2013 | 15 | 2013 |
| Meta-model-based meta-policy optimization T Hiraoka, T Imagawa, V Tangkaratt, T Osa, T Onishi, Y Tsuruoka ACML 2021, 2020 | 12 | 2020 |
| Reinforcement Learning in Multi-Party Trading Dialog T Hiraoka, K Georgila, E Nouri, DR Traum, S Nakamura SIGDIAL Conference, 32-41, 2015 | 10 | 2015 |
| Off-policy meta-reinforcement learning with belief-based task inference T Imagawa, T Hiraoka, Y Tsuruoka IEEE Access 10, 49494-49507, 2022 | 8 | 2022 |
| Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System H Katsumi, T Hiraoka, K Yoshino, K Yamamoto, S Motoura, K Sadamasa, ... AAAI2019 DEEP-DIAL 2019 workshop, 2018 | 8 | 2018 |
| 論証対話システムにおける情報探索対話戦略の最適化 勝見久央， 吉野幸一郎， 平岡拓也， 秋元康佑， 山本風人， 本浦庄太， ... 人工知能学会論文誌 35 (1), DSI-D_1-12, 2020 | 5 | 2020 |
| Optimistic proximal policy optimization T Imagawa, T Hiraoka, Y Tsuruoka arXiv preprint arXiv:1906.11075, 2019 | 5 | 2019 |
| Monte Carlo Tree Search with variable simulation periods for continuously running tasks S Ba, T Hiraoka, T Onishi, T Nakata, Y Tsuruoka ICTAI 2019, 416-423, 2019 | 3 | 2019 |
| Evaluation of a fully automatic cooperative persuasive dialogue system T Hiraoka, G Neubig, S Sakti, T Toda, S Nakamura Natural Language Dialog Systems and Intelligent Assistants, 153-167, 2015 | 3 | 2015 |
| 説得対話システムにおける話題誘導に基づく対話制御 平岡拓也， ヒラオカタクヤ 奈良先端科学技術大学院大学, 2013 | 3 | 2013 |
| Policy creation apparatus, control apparatus, policy creation method, and non-transitory computer readable medium storing policy creation program Y Takahashi, T Hiraoka, Y Tsuruoka US Patent 11,841,689, 2023 | 2 | 2023 |
| 対話状態推定のための外部知識ベースを利用した意味的素性の提案 石川葉子， 平岡拓也， 水上雅博， 吉野幸一郎， 中村哲 研究報告音声言語情報処理 (SLP) 2015 (13), 1-4, 2015 | 2 | 2015 |
Yoshimasa TsuruokaThe University of TokyoVerified email at logos.t.u-tokyo.ac.jp
