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pro vyhledávání: '"Kanagawa, Yuji"'
Autor:
Kanagawa, Yuji, Doya, Kenji
The reward system is one of the fundamental drivers of animal behaviors and is critical for survival and reproduction. Despite its importance, the problem of how the reward system has evolved is underexplored. In this paper, we try to replicate the e
Externí odkaz:
http://arxiv.org/abs/2406.15016
Autor:
Kanagawa, Yuji, Kaneko, Tomoyuki
We consider the problem of autonomously learning reusable temporally extended actions, or options, in reinforcement learning. While options can speed up transfer learning by serving as reusable building blocks, learning reusable options for unknown t
Externí odkaz:
http://arxiv.org/abs/2010.02756
Autor:
Kanagawa, Yuji, Kaneko, Tomoyuki
In this paper, we propose Rogue-Gym, a simple and classic style roguelike game built for evaluating generalization in reinforcement learning (RL). Combined with the recent progress of deep neural networks, RL has successfully trained human-level agen
Externí odkaz:
http://arxiv.org/abs/1904.08129
Publikováno v:
日本機械学会論文集(B). 74(738):505-512
In this study, we measured soot and NOx in a cyclone-jet combustor. A laser induced incandescence (LII) technique was applied to obtain instantaneous soot concentration. As for NOx emission, premixed and non-premixed combustion were examined with cha