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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 7 of 7  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
IA, SITE, IPSJ-IOT [detail] 2019-03-07
16:15
Tokushima Grand XIV Naruto On the possibility of learning the order relation of familial resemblance clusters based on Information theoretic scale -- What is mean by "Defining the rewards of Bayesian inverse reinforcement learning as family resenblence"? --
Tetsuya Morizumi (KU) SITE2018-76 IA2018-68
In this paper, we present an approach to incorporate the viewpoint of <mind> into an artificial intelligent system. To t... [more] SITE2018-76 IA2018-68
pp.133-140
SITE 2018-12-06
11:45
Tokyo   What is the ethics of the inverse reinforcement learning system that circulates probability measure texts and deterministic texts
Tetsuya Morizumi (KU) SITE2018-62
In the Internet, the system is designed and operated by a logic viewpoint based on determinism.
If you design the syste... [more]
SITE2018-62
pp.17-23
MBE, NC
(Joint)
2017-03-13
10:25
Tokyo Kikai-Shinko-Kaikan Bldg. Estimation of the change of agent's behavior strategy using state-action history
Shihori Uchida, Shigeyuki Oba, Shin Ishii (Kyoto Univ.) NC2016-65
Reinforcement learning (RL) is a model of learning process of animals and intelligent agents to obtain the optimal behav... [more] NC2016-65
pp.7-12
NC, IPSJ-BIO, IBISML, IPSJ-MPS
(Joint) [detail]
2015-06-23
16:35
Okinawa Okinawa Institute of Science and Technology Inverse reinforcemnet learing based on behaviors of a learning agent
Shunsuke Sakurai, Shigeyuki Oba, Shin Ishii (Kyoto Univ.) IBISML2015-15
An appropriate design of reward function is important for reinforcement learning to efficiently obtain an optimal policy... [more] IBISML2015-15
pp.95-99
PRMU, IBISML, IPSJ-CVIM [detail] 2013-09-02
13:00
Tottori   [Invited Talk] Topics on the Cost in Machine Learning
Shotaro Akaho (AIST) PRMU2013-40 IBISML2013-20
Most machine learning algorithms minimize some cost functions, therefore
the cost is a general target of research.
... [more]
PRMU2013-40 IBISML2013-20
pp.47-48
NC, NLP 2013-01-24
10:10
Hokkaido Hokkaido University Centennial Memory Hall Analysis of Medical Treatment Data using Inverse Reinforcement Learning
Hideki Asoh, Masanori Shiro, Toshihiro Kamishima, Shotaro Akaho (AIST), Takahide Kohro (Univ. of Tokyo Hospital) NLP2012-106 NC2012-96
It is an important issue to utilize large amount of medical records which are accumulated on medical information systems... [more] NLP2012-106 NC2012-96
pp.13-17
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
 Results 1 - 7 of 7  /   
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