Neil Burch
Neil Burch
DeepMind & Alberta Machine Intelligence Institute, University of Alberta
Verified email at
Cited by
Cited by
DeepStack: Expert-level artificial intelligence in heads-up no- limit poker
M Moravcik, M Schmid, N Burch, V Lisy, D Morrill, N Bard, T Davis, ...
Science, 2017
Checkers is solved
J Schaeffer, N Burch, Y Bjornsson, A Kishimoto, M Muller, R Lake, P Lu, ...
science 317 (5844), 1518-1522, 2007
Heads-up limit hold’em poker is solved
M Bowling, N Burch, M Johanson, O Tammelin
Science 347 (6218), 145-149, 2015
Approximating game-theoretic optimal strategies for full-scale poker
D Billings, N Burch, A Davidson, R Holte, J Schaeffer, T Schauenberg, ...
IJCAI, 661-668, 2003
The hanabi challenge: A new frontier for ai research
N Bard, JN Foerster, S Chandar, N Burch, M Lanctot, HF Song, E Parisotto, ...
Artificial Intelligence 280, 103216, 2020
Bayes' bluff: Opponent modelling in poker
F Southey, MP Bowling, B Larson, C Piccione, N Burch, D Billings, ...
Twenty-First Conference on Uncertainty in Artificial Intelligence (UAI-05), 2005
Solving Heads-up Limit Texas Hold’em
O Tammelin, N Burch, M Johanson, M Bowling
Proceedings of the 24th International Joint Conference on Artificial …, 2015
Bayesian action decoder for deep multi-agent reinforcement learning
JN Foerster, F Song, E Hughes, N Burch, I Dunning, S Whiteson, ...
Proceedings of the Thirty-Sixth International Conference on Machine Learning, 2019
Game-tree search with adaptation in stochastic imperfect-information games
D Billings, A Davidson, T Schauenberg, N Burch, M Bowling, R Holte, ...
Computers and Games, 21-34, 2004
Memory-based heuristics for explicit state spaces
NR Sturtevant, A Felner, M Barrer, J Schaeffer, N Burch
Twenty-First International Joint Conference on Artificial Intelligence, 2009
Solving Imperfect Information Games Using Decomposition
N Burch, M Johanson, M Bowling
Proceedings of the Twenty-Eighth AAAI conference on Artificial Intelligence, 2014
Evaluating state-space abstractions in extensive-form games
M Johanson, N Burch, R Valenzano, M Bowling
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
Finding optimal abstract strategies in extensive-form games
M Johanson, N Bard, N Burch, M Bowling
Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1371-1379, 2012
Solving checkers
J Schaeffer, Y Björnsson, N Burch, A Kishimoto, M M¨ uller, R Lake, P Lu, ...
Proceedings of the 19th international joint conference on Artificial …, 2005
No-regret learning in extensive-form games with imperfect recall
M Lanctot, R Gibson, N Burch, M Zinkevich, M Bowling
arXiv preprint arXiv:1205.0622, 2012
Block A*: Database-driven search with applications in any-angle path-planning
P Yap, N Burch, R Holte, J Schaeffer
Proceedings of the AAAI Conference on Artificial Intelligence 25 (1), 120-125, 2011
Online implicit agent modelling
N Bard, M Johanson, N Burch, M Bowling
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
Variance reduction in monte carlo counterfactual regret minimization (VR-MCCFR) for extensive form games using baselines
M Schmid, N Burch, M Lanctot, M Moravcik, R Kadlec, M Bowling
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence …, 2019
Predicting the performance of IDA* using conditional distributions
U Zahavi, A Felner, N Burch, RC Holte
Journal of Artificial Intelligence Research 37, 41-83, 2010
Mastering the game of Stratego with model-free multiagent reinforcement learning
J Perolat, B De Vylder, D Hennes, E Tarassov, F Strub, V de Boer, ...
Science 378 (6623), 990-996, 2022
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