NEWS
New Feature: Compare Your Institution with the Previous Year
Find a Professional: Explore Experts Across 197 Disciplines in 220 Countries!
Find a Professional
Print Your Certificate
New! Young University / Institution Rankings 2025
New! Art & Humanities Rankings 2025
New! Social Sciences and Humanities Rankings 2025
Highly Cited Researchers 2025
AD
Scientific Index 2025
Scientist Rankings
University Rankings
Subject Rankings
Country Rankings
login
Login
person_add
Register
insights
H-Index Rankings
insights
i10 Productivity Rankings
format_list_numbered
Citation Rankings
subject
University Subject Rankings
school
Young Universities
format_list_numbered
Top 100 Scientists
format_quote
Top 100 Institutions
format_quote
Compare & Choose
local_fire_department
Country Reports
person
Find a Professional
James Macglashan
Sony Corporation - Tokyo / Japan
Engineering & Technology / Computer Science
AD Scientific Index ID: 4405225
Registration, Add Profile,
Premium Membership
Print Your Certificate
Ranking &
Analysis
Job
Experiences (0)
Education
Information (0)
Published Books (0)
Book Chapters (0)
Articles (0)
Presentations (0)
Lessons (0)
Projects (0)
Congresses (0)
Editorship, Referee &
Scientific Board (0 )
Patents /
Designs (0)
Academic Grants
& Awards (0)
Artistic
Activities (0)
Certificate / Course
/ Trainings (0)
Association &
Society Memberships (0)
Contact, Office
& Social Media
person_outline
James Macglashan's MOST POPULAR ARTICLES
1-)
Outracing champion Gran Turismo drivers with deep reinforcement learningPR Wurman, S Barrett, K Kawamoto, J MacGlashan, K Subramanian, ...Nature 602 (7896), 223-228, 20223012022
2-)
Interactive learning from policy-dependent human feedbackJ MacGlashan, MK Ho, R Loftin, B Peng, G Wang, DL Roberts, ME Taylor, ...International conference on machine learning, 2285-2294, 20173012017
3-)
Reinforcement learning as a framework for ethical decision makingD Abel, J MacGlashan, ML LittmanWorkshops at the thirtieth AAAI conference on artificial intelligence, 20161542016
4-)
Environment-independent task specifications via GLTLML Littman, U Topcu, J Fu, C Isbell, M Wen, J MacGlashanarXiv preprint arXiv:1704.04341, 20171412017
5-)
Showing versus doing: Teaching by demonstrationMK Ho, M Littman, J MacGlashan, F Cushman, JL AusterweilAdvances in neural information processing systems 29, 20161372016
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept