I was a Ph.D. student in Tohoku Univ. I majored in mechanical engineering in undergraduate and information science in graduate school (NAIST), especially about the machine learning.
I have a master's degree in information science (NAIST). I have a strong interest on the machine learning, especially about the reinforceme
Learn to Survive by Deep Reinforcement Learning (extended abstract), p299-303, The 3rd Multidisciplinary Conference on Reinforcement Learning and Decision Making, June 11-14, 2017, Ann Arbor, Michigan, USA
N.Yoshida, “Homeostatic Agent for General Environment”, Journal of Artificial General Intelligence 8(1) 1-22, 2017
Yoshida, Naoto. "From retina to behavior: prey-predator recognition by convolutional neural networks and their modulation by classical conditioning." Adaptive Behavior 24.4 (2016): 195-218.
Model-based 強化学習とその周辺 (personal note)
Awards and Certifications
WBAI Incentive Award (from Whole Brain Architecture Initiative)