NEWS
Free Institutional Consultancy Services
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
Marc Lanctot
Google Inc. - California / United States
Engineering & Technology / Computer Science
AD Scientific Index ID: 4378550
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)
Subject Leaders
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
Marc Lanctot's MOST POPULAR ARTICLES
1-)
Mastering the game of Go with deep neural networks and tree searchD Silver, A Huang, CJ Maddison, A Guez, L Sifre, G Van Den Driessche, ...Nature 529 (7587), 484-489, 2016144952016
2-)
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-playD Silver, T Hubert, J Schrittwieser, I Antonoglou, M Lai, A Guez, M Lanctot, ...Science 362 (6419), 1140-1144, 20184253*2018
3-)
Dueling Network Architectures for Deep Reinforcement LearningZ Wang, T Schaul, M Hessel, H van Hasselt, M Lanctot, N de FreitasarXiv preprint arXiv:1511.06581, 201631912016
4-)
Value-decomposition networks for cooperative multi-agent learning based on team rewardP Sunehag, G Lever, A Gruslys, WM Czarnecki, V Zambaldi, M Jaderberg, ...Proceedings of the 17th international conference on autonomous agents and …, 20181871*2018
5-)
Deep Q-learning from DemonstrationsT Hester, M Vecerik, O Pietquin, M Lanctot, T Schaul, B Piot, D Horgan, ...Association for the Advancement of Artificial Intelligence (AAAI), 201812962018
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