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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2023-11-03 14:20 |
Ishikawa | The Kanazawa Chamber of Commerce and Industry (Primary: On-site, Secondary: Online) |
Optimal Maintenance Policy for a Markovian Deteriorating System under Random Operating Environment Nobuyuki Tamura (Hosei Univ.)  R2023-46 |
We consider a system whose deterioration follows a discrete-time and discrete-state Markov chain with an absorbing state... [more] | R2023-46 pp.10-15 |
| CCS | 2019-11-15 09:30 |
Hyogo | Kobe Univ. | An application of reinforcement learning in anti-jamming mechanism of mobile robot path planning with co-safe temporal logic specifications Jian Mi, Naomi Kuze, Toshimitsu Ushio (Osaka Univ.) CCS2019-29 |
This paper provides a method for mobile robot path planning with syntactically co-safe Linear Temporal Logic (scLTL) spe... [more] | CCS2019-29 pp.23-28 |
| AI | 2019-07-22 16:30 |
Hokkaido | Modeling of Cyber Attack Based on POMDP Kazuma Igami, Hirofumi Yamaki (Tokyo Denki Univ.) AI2019-15 |
APTs(Advanced Persistent Threats), which are a type of cyber-attack, are a major threat to information systems because t... [more] | AI2019-15 pp.77-82 |
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| ICSS, IPSJ-SPT | 2018-03-07 13:50 |
Hokkaido | Okinawa Hokubu Koyou Nouryoku Kaihatsu Sougou Center | An analysis of the Guo-Johansson-Stankovski attack against QC-MDPC codes Yohei Maezawa, Tung Chou, Atsuko Miyaji (Osaka Univ,) ICSS2017-57 |
In ASIACRYPT 2016, the Guo-Johansson-Stankovski (GJS) attack appears as a key-recovery attack against code--based encryp... [more] | ICSS2017-57 pp.37-42 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-25 11:00 |
Okinawa | Okinawa Institute of Science and Technology | Validation of the Effectiveness of HPG in Large Scale POMDP Environment Kohei Suzuki, Shohei Kato (NITech) IBISML2017-9 |
In a POMDP environment, an agent may observe the same information at more than one state. HQ-learning and Episode-based ... [more] | IBISML2017-9 pp.201-206 |
| NC, NLP (Joint) |
2017-01-27 15:40 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | Evaluation of a learning system with adaptation of environmental changes for multimodal communication Yohei Kashio, Eiichi Inohira (Kyutech) NC2016-63 |
Service robots should take actions suitable for situation and based on interpretation of human actions and intentions. I... [more] | NC2016-63 pp.89-92 |
| SP | 2015-10-16 10:00 |
Hyogo | Kobe Univ. | Evaluation of Parallel POMDP based on State Space Partition and State Transition Learning Yoji Yamada, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2015-66 |
Significant problems with Partially Observable Markov Decision Process (POMDP) lie in a large number of states, causing ... [more] | SP2015-66 pp.39-43 |
| IBISML | 2013-11-13 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Sample Complexity Reduction in Reinforcement Learning by Transferred Transition and Reward Probability Kouta Oguni, Kazuyuki Narisawa, Ayumi Shinohara (Tohoku Univ.) IBISML2013-54 |
Most existing reinforcement learning algorithms are not very efficient in real environmental problems. Because, they hav... [more] | IBISML2013-54 pp.139-146 |
| SR, AN, USN, RCS (Joint) |
2012-10-19 14:55 |
Fukuoka | Fukuoka univ. | A Fuzzy Q-Learning Based Sensing Policy for Cognitive Radio Systems Fereidoun H. Panahi, Tomoaki Ohtsuki (Keio Univ.) RCS2012-155 |
In a cognitive radio (CR) network, the channel sensing scheme to detect the appearance of a primary user (PU) directly a... [more] | RCS2012-155 pp.173-178 |
| IBISML | 2012-03-12 14:40 |
Tokyo | The Institute of Statistical Mathematics | Kernel Bellman Equations in POMDPs Yu Nishiyama (ISM), Abdeslam Boularias (MPI), Arthur Gretton (UCL), Kenji Fukumizu (ISM) IBISML2011-92 |
We propose to handle POMDPs in reproducing kernel Hilbert spaces (RKHSs) using recent kernel methods of embedding distri... [more] | IBISML2011-92 pp.35-42 |
| IBISML | 2012-03-12 15:30 |
Tokyo | The Institute of Statistical Mathematics | Apprenticeship Learning for Model Parameters of Partially Observable Environments Takaki Makino (Univ. of Tokyo), Johane Takeuchi (HRI-JP) IBISML2011-94 |
We consider apprentice learning, i.e., to make an agent learn a task by observing an expert demonstrating the task, in a... [more] | IBISML2011-94 pp.49-54 |
| AI, IPSJ-ICS, JSAI-KBS, JSAI-SAI, JSAI-DOCMAS | 2012-03-13 14:30 |
Hokkaido | Jozankei View Hotel | Applying Transfer Learning to the Implementation of an Interactive FAQ Search System Shingo Kitamoto, Shigeo Matsubara (Kyoto Univ.) AI2011-48 |
We have developed a method of implementing an interactive FAQ search system using transfer learning. This paper focuse... [more] |
AI2011-48 pp.31-36 |
| NLC, SP (Joint) [detail] |
2010-12-20 15:50 |
Tokyo | National Olympics Memorial Youth Center | Trigram dialogue control using POMDPs Yasuhiro Minami, Ryuichiro Higashinaka, Kohji Dohsaka, Toyomi Meguro, Akira Mori, Eisaku Maeda (NTT Corp.) NLC2010-17 SP2010-90 |
This paper proposes hybrid dialogue control of both trigram and POMDP dialogue controls by extending our proposed method... [more] | NLC2010-17 SP2010-90 pp.37-42 |
| NLC, SP (Joint) [detail] |
2010-12-21 16:40 |
Tokyo | National Olympics Memorial Youth Center | Spoken Dialogue Manager Using Partially Observable Markov Decision Processes with Hierarchical Reinforcement Learning Yasuhide Kishimoto, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) NLC2010-25 SP2010-98 |
In this paper,we propose a dialogue manager using Partially Observable Markov Decision Processes (POMDP) that can treat ... [more] | NLC2010-25 SP2010-98 pp.121-126 |
| SP | 2010-07-24 15:10 |
Miyagi | Ryokusui-tei (Sendai) | Spoken Dialogue Manager in Car Navigation System Using Partially Observable Markov Decision Processes with Hierarchical Reinforcement Learning Yasuhide Kishimoto, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) SP2010-43 |
In this paper，we propose a dialogue manager in a car navigation systems using Partially Observable Markov Decision Proce... [more] | SP2010-43 pp.49-54 |
| SP, NLC | 2008-12-10 11:45 |
Tokyo | Waseda Univ. | Controlling thought-evoking dialogue using POMDP Yasuhiro Minami, Minako Sawaki, Ryuichiro Higashinaka, Kohji Dohsaka (NTT) NLC2008-40 SP2008-95 |
We are researching thought-evoking dialogue systems where conversation agents appropriately affect users and evoke their... [more] | NLC2008-40 SP2008-95 pp.97-102 |
| AI, KEWPIE | 2004-07-29 13:00 |
Kyoto | Keihanna Plaza | SAPS: The Exploitation Reinforcement Learning Method on POMDPs Wataru Uemura, Atsushi Ueno, Shoji Tatsumi (Osaka City Univ.) |
This paper proposes the Episode Profit Sharing(EPS) that can estimate the received rewards on partially observable marko... [more] | AI2004-12 pp.1-5 |
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