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Takuya Hiraoka
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2020 – today
- 2024
- [i12]Takuya Hiraoka, Guanquan Wang, Takashi Onishi, Yoshimasa Tsuruoka:
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences. CoRR abs/2405.14629 (2024) - 2023
- [i11]Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka:
Unsupervised Discovery of Continuous Skills on a Sphere. CoRR abs/2305.14377 (2023) - [i10]Takuya Hiraoka:
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization. CoRR abs/2312.05787 (2023) - 2022
- [j3]Takahisa Imagawa
, Takuya Hiraoka
Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference. IEEE Access 10: 49494-49507 (2022) - [c14]Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka:
Dropout Q-Functions for Doubly Efficient Reinforcement Learning. ICLR 2022 - 2021
- [c13]Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka:
Meta-Model-Based Meta-Policy Optimization. ACML 2021: 129-144 - [i9]Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka:
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces. CoRR abs/2101.01883 (2021) - [i8]Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka:
Dropout Q-Functions for Doubly Efficient Reinforcement Learning. CoRR abs/2110.02034 (2021) - 2020
- [i7]Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka:
Meta-Model-Based Meta-Policy Optimization. CoRR abs/2006.02608 (2020)
2010 – 2019
- 2019
- [c12]Kosuke Akimoto, Takuya Hiraoka, Kunihiko Sadamasa, Mathias Niepert:
Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas. EMNLP/IJCNLP (1) 2019: 6224-6230 - [c11]Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka:
Monte Carlo Tree Search with Variable Simulation Periods for Continuously Running Tasks. ICTAI 2019: 416-423 - [c10]Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka:
Learning Robust Options by Conditional Value at Risk Optimization. NeurIPS 2019: 2615-2625 - [r1]Takenobu Takizawa, Takeshi Ito, Takuya Hiraoka, Kunihito Hoki:
Contemporary Computer Shogi. Encyclopedia of Computer Graphics and Games 2019 - [i6]Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka:
Learning Robust Options by Conditional Value at Risk Optimization. CoRR abs/1905.09191 (2019) - [i5]Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka:
Optimistic Proximal Policy Optimization. CoRR abs/1906.11075 (2019) - 2018
- [c9]Takuya Hiraoka, Shota Motoura, Kunihiko Sadamasa:
Detecticon: A Prototype Inquiry Dialog System. IWSDS 2018: 381-387 - [i4]Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka:
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks. CoRR abs/1809.02378 (2018) - [i3]Takuya Hiraoka, Takashi Onishi, Takahisa Imagawa, Yoshimasa Tsuruoka:
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients. CoRR abs/1810.00177 (2018) - [i2]Hisao Katsumi, Takuya Hiraoka, Koichiro Yoshino, Kazeto Yamamoto, Shota Motoura, Kunihiko Sadamasa, Satoshi Nakamura:
Optimization of Information-Seeking Dialogue Strategy for Argumentation-Based Dialogue System. CoRR abs/1811.10728 (2018) - 2017
- [i1]Takuya Hiraoka, Masaaki Tsuchida, Yotaro Watanabe:
Deep Reinforcement Learning for Inquiry Dialog Policies with Logical Formula Embeddings. CoRR abs/1708.00667 (2017) - 2016
- [j2]Takuya Hiraoka, Kallirroi Georgila, Elnaz Nouri, David R. Traum, Satoshi Nakamura:
Reinforcement Learning of Multi-Party Trading Dialog Policies. Inf. Media Technol. 11: 264-277 (2016) - [j1]Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda
Learning cooperative persuasive dialogue policies using framing. Speech Commun. 84: 83-96 (2016) - [c8]Takuya Hiraoka, Graham Neubig, Koichiro Yoshino, Tomoki Toda
Active Learning for Example-Based Dialog Systems. IWSDS 2016: 67-78 - 2015
- [c7]Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda
Evaluation of a Fully Automatic Cooperative Persuasive Dialogue System. IWSDS 2015: 153-167 - [c6]Takuya Hiraoka, Kallirroi Georgila, Elnaz Nouri, David R. Traum, Satoshi Nakamura:
Reinforcement Learning in Multi-Party Trading Dialog. SIGDIAL Conference 2015: 32-41 - 2014
- [c5]Riki Yoshida, Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda
Unnecessary utterance detection for avoiding digressions in discussion. APSIPA 2014: 1-4 - [c4]Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Reinforcement Learning of Cooperative Persuasive Dialogue Policies using Framing. COLING 2014: 1706-1717 - [c3]Takuya Hiraoka, Graham Neubig, Sakriani Sakti, Tomoki Toda, Satoshi Nakamura:
Construction and Analysis of a Persuasive Dialogue Corpus. IWSDS 2014: 125-138 - 2013
- [c2]Takuya Hiraoka, Yuki Yamauchi, Graham Neubig, Sakriani Sakti, Tomoki Toda
Dialogue management for leading the conversation in persuasive dialogue systems. ASRU 2013: 114-119
2000 – 2009
- 2005
- [c1]Tetsuya Ikeda, Hiroko Mano, Hideo Itoh, Hiroshi Takegawa, Takuya Hiraoka, Shiroh Horibe, Yasushi Ogawa:
TRMeister: A DBMS with High-Performance Full-Text Search Functions. ICDE 2005: 958-967
Coauthor Index
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