Takashi Onishi

33 papers A* 2B 3C 3Journal 17Unranked 8

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Interpretable Imitation Learning with Symbolic Rewards. ACM Trans. Intell. Syst. Technol. Nicolas Bougie, Takashi Onishi, Yoshimasa Tsuruoka
2024	J	`jnl`	Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences. CoRR Takuya Hiraoka, Guanquan Wang, Takashi Onishi, Yoshimasa Tsuruoka
2022	A*	`conf`	Dropout Q-Functions for Doubly Efficient Reinforcement Learning. ICLR Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka
2022	—	`conf`	Local Control is All You Need: Decentralizing and Coordinating Reinforcement Learning for Large-Scale Process Control. SICE Nicolas Bougie, Takashi Onishi, Yoshimasa Tsuruoka
2022	J	`jnl`	Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning. CoRR Shumpei Kubosawa, Takashi Onishi, Makoto Sakahara, Yoshimasa Tsuruoka
2022	J	`jnl`	Soft Sensors and Process Control using AI and Dynamic Simulation. CoRR Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka
2021	J	`jnl`	Dropout Q-Functions for Doubly Efficient Reinforcement Learning. CoRR Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka
2021	C	`conf`	Meta-Model-Based Meta-Policy Optimization. ACML Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka
2021	—	`conf`	Non-steady-state Control under Disturbances: Navigating Plant Operation via Simulation-Based Reinforcement Learning. SICE Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka
2020	J	`jnl`	Meta-Model-Based Meta-Policy Optimization. CoRR Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka
2019	J	`jnl`	Improvement of the Form Accuracy of a Slender Workpiece in Cylindrical Traverse Grinding. Int. J. Autom. Technol. Takashi Onishi, Teppei Takashima, Moriaki Sakakura, Koichi Sakamoto, Kazuhito Ohashi
2019	A*	`conf`	Learning Robust Options by Conditional Value at Risk Optimization. NeurIPS Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka
2019	J	`jnl`	Learning Robust Options by Conditional Value at Risk Optimization. CoRR Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka
2019	B	`conf`	Monte Carlo Tree Search with Variable Simulation Periods for Continuously Running Tasks. ICTAI Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka
2019	J	`jnl`	Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning. CoRR Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka
2018	J	`jnl`	Hierarchical Reinforcement Learning with Abductive Planning. CoRR Kazeto Yamamoto, Takashi Onishi, Yoshimasa Tsuruoka
2018	J	`jnl`	Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks. CoRR Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka
2018	J	`jnl`	Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients. CoRR Takuya Hiraoka, Takashi Onishi, Takahisa Imagawa, Yoshimasa Tsuruoka
2018	J	`jnl`	Translating MFM into FOL: towards plant operation planning. CoRR Shota Motoura, Kazeto Yamamoto, Shumpei Kubosawa, Takashi Onishi
2017	C	`conf`	Event Relation Acquisition Using Dependency Patterns and Confidence-Weighted Co-occurrence Statistics. FedCSIS Shohei Higashiyama, Kunihiko Sadamasa, Takashi Onishi, Yotaro Watanabe
2013	B	`conf`	Chinese Informal Word Normalization: an Experimental Study. IJCNLP Aobo Wang, Min-Yen Kan, Daniel Andrade, Takashi Onishi, Kai Ishikawa
2013	—	`conf`	Detecting Contradiction in Text by Using Lexical Mismatch and Structural Similarity. NTCIR Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa
2013	B	`conf`	Synonym Acquisition Using Bilingual Comparable Corpora. IJCNLP Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa
2013	—	`conf`	Translation Acquisition Using Synonym Sets. HLT-NAACL Daniel Andrade, Masaaki Tsuchida, Takashi Onishi, Kai Ishikawa
2012	J	`jnl`	An Empirical Comparison of Parsers in Constraining Reordering for E-J Patent Machine Translation. Inf. Media Technol. Isao Goto, Masao Utiyama, Takashi Onishi, Eiichiro Sumita
2012	J	`jnl`	An Empirical Comparison of Parsers in Constraining Reordering for E-J Patent Machine Translation. J. Inf. Process. Isao Goto, Masao Utiyama, Takashi Onishi, Eiichiro Sumita
2011	—	`conf`	A Comparison Study of Parsers for Patent Machine Translation. MTSummit Isao Goto, Masao Utiyama, Takashi Onishi, Eiichiro Sumita
2011	J	`jnl`	Paraphrase Lattice for Statistical Machine Translation. IEICE Trans. Inf. Syst. Takashi Onishi, Masao Utiyama, Eiichiro Sumita
2011	—	`conf`	Reordering Constraint Based on Document-Level Context. ACL (2) Takashi Onishi, Masao Utiyama, Eiichiro Sumita
2011	C	`conf`	Rule-based Reordering Constraints for Phrase-based SMT. EAMT Chooi-Ling Goh, Takashi Onishi, Eiichiro Sumita
2011	—	`conf`	Searching Translation Memories for Paraphrases. MTSummit Masao Utiyama, Graham Neubig, Takashi Onishi, Eiichiro Sumita
2010	—	`conf`	Paraphrase Lattice for Statistical Machine Translation. ACL (2) Takashi Onishi, Masao Utiyama, Eiichiro Sumita
2007	J	`jnl`	Geostatistical techniques for incorporating spatial correlation into land use change models. Int. J. Appl. Earth Obs. Geoinformation Ademola K. Braimoh, Takashi Onishi