Sotabase

Career

· Research Scientist, Google DeepMind2014–
· Postdoctoral Researcher, Maastricht University2012–2014
· Course Lecturer, University of Toronto2009–2010
· Ph.D. in Artificial Intelligence, University of Alberta2006–2012
· Teaching Assistant, University of Alberta2006–2007
· Course Lecturer, McGill University2005–2006
· System Administrator and Programmer, Ubisoft Entertainment Inc.2005–2005
· M.Sc. in Multi-Agent Simulation, McGill University2003–2005
· System Administrator and Programmer, McGill University2003–2006
· B.Sc. in Computer Science (Honours), McGill University1999–2002

Publications (209)

Mastering the game of Go with deep neural networks and tree search
Nature · 2016
18,352
cited
Dueling Network Architectures for Deep Reinforcement Learning
International Conference on Machine Learning · 2015
4,224
cited
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
Science · 2018
3,872
cited
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
arXiv.org · 2017
2,001
cited
Deep Q-learning From Demonstrations
AAAI Conference on Artificial Intelligence · 2017
1,216
cited
Value-Decomposition Networks For Cooperative Multi-Agent Learning
arXiv.org · 2017
1,211
cited
Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward
Adaptive Agents and Multi-Agent Systems · 2018
786
cited
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
Neural Information Processing Systems · 2017
694
cited
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Adaptive Agents and Multi-Agent Systems · 2017
665
cited
The Hanabi Challenge: A New Frontier for AI Research
Artificial Intelligence · 2019
397
cited
Monte Carlo Sampling for Regret Minimization in Extensive Games
Neural Information Processing Systems · 2009
337
cited
Fictitious Self-Play in Extensive-Form Games
International Conference on Machine Learning · 2015
334
cited
OpenSpiel: A Framework for Reinforcement Learning in Games
arXiv.org · 2019
283
cited
Memory-Efficient Backpropagation Through Time
Neural Information Processing Systems · 2016
262
cited
Mastering the game of Stratego with model-free multiagent reinforcement learning
Science · 2022
250
cited
Emergent Communication through Negotiation
International Conference on Learning Representations · 2018
169
cited
Learning from Demonstrations for Real World Reinforcement Learning
arXiv.org · 2017
158
cited
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Neural Information Processing Systems · 2018
155
cited
α-Rank: Multi-Agent Evaluation by Evolution
Scientific Reports · 2019
134
cited
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
arXiv.org · 2019
119
cited
Sotabase
Marc Lanctot | Researcher Profile | Sotabase | Sotabase