Neil Burch

Publication Activity (10 Years)

Years Active: 2003-2023
Publications (10 Years): 29

Top Topics

Imperfect Information Games

Reinforcement Learning

Approximate Policy Iteration

Top Venues

Publications

Ondrej Kubicek, Neil Burch, Viliam Lisý
Look-ahead Search on Top of Policy Networks in Imperfect Information Games. CoRR (2023)
Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). IJCAI (2023)
Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas W. Anthony, Julien Pérolat
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning. CoRR (2023)
Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
Rethinking formal models of partially observable multiagent decision making. Artif. Intell. 303 (2022)
Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling
Approximate Exploitability: Learning a Best Response. IJCAI (2022)
Julien Pérolat, Bart De Vylder, Daniel Hennes, Eugene Tarassov, Florian Strub, Vincent de Boer, Paul Muller, Jerome T. Connor, Neil Burch, Thomas W. Anthony, Stephen McAleer, Romuald Elie, Sarah H. Cen, Zhe Wang, Audrunas Gruslys, Aleksandra Malysheva, Mina Khan, Sherjil Ozair, Finbarr Timbers, Toby Pohlen, Tom Eccles, Mark Rowland, Marc Lanctot, Jean-Baptiste Lespiau, Bilal Piot, Shayegan Omidshafiei, Edward Lockhart, Laurent Sifre, Nathalie Beauguerlange, Rémi Munos, David Silver, Satinder Singh, Demis Hassabis, Karl Tuyls
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR (2022)
Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Joshua Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, Zach Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling
Player of Games. CoRR (2021)
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
Solving Common-Payoff Games with Approximate Policy Iteration. AAAI (2021)
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
Solving Common-Payoff Games with Approximate Policy Iteration. CoRR (2021)
Julien Pérolat, Rémi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. ICML (2021)
Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling
Sound Algorithms in Imperfect Information Games. AAMAS (2021)
Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling
Sound Search in Imperfect Information Games. CoRR (2020)
Edward Lockhart, Neil Burch, Nolan Bard, Sebastian Borgeaud, Tom Eccles, Lucas Smaira, Ray Smith
Human-Agent Cooperation in Bridge Bidding. CoRR (2020)
Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling
The Hanabi challenge: A new frontier for AI research. Artif. Intell. 280 (2020)
Julien Pérolat, Rémi Munos, Jean-Baptiste Lespiau, Shayegan Omidshafiei, Mark Rowland, Pedro A. Ortega, Neil Burch, Thomas W. Anthony, David Balduzzi, Bart De Vylder, Georgios Piliouras, Marc Lanctot, Karl Tuyls
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. CoRR (2020)
Nolan Bard, Jakob N. Foerster, Sarath Chandar, Neil Burch, Marc Lanctot, H. Francis Song, Emilio Parisotto, Vincent Dumoulin, Subhodeep Moitra, Edward Hughes, Iain Dunning, Shibl Mourad, Hugo Larochelle, Marc G. Bellemare, Michael Bowling
The Hanabi Challenge: A New Frontier for AI Research. CoRR (2019)
Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, Michael Bowling
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. ICML (2019)
Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. AAAI (2019)
Neil Burch, Matej Moravcik, Martin Schmid
Revisiting CFR+ and Alternating Updates. J. Artif. Intell. Res. 64 (2019)
Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
Rethinking Formal Models of Partially Observable Multiagent Decision Making. CoRR (2019)
Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew Botvinick, Michael Bowling
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. CoRR (2018)
Neil Burch, Matej Moravcik, Martin Schmid
Revisiting CFR+ and Alternating Updates. CoRR (2018)
Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines. CoRR (2018)
Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI (2018)
Neil Burch, Martin Schmid, Matej Moravcik, Michael Bowling
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI Workshops (2017)
Matej Moravcík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael H. Bowling
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker. CoRR (2017)
Michael Bowling, Neil Burch, Michael Johanson, Oskari Tammelin
Heads-up limit hold'em poker is solved. Commun. ACM 60 (11) (2017)
Neil Burch, Martin Schmid, Matej Moravcik, Michael H. Bowling
AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. CoRR (2016)
Oskari Tammelin, Neil Burch, Michael Johanson, Michael Bowling
Solving Heads-Up Limit Texas Hold'em. IJCAI (2015)
Trevor Davis, Neil Burch, Michael Bowling
Using Response Functions to Measure Strategy Strength. AAAI (2014)
Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte
Predicting the Performance of IDA* using Conditional Distributions. CoRR (2014)
Neil Burch, Michael Johanson, Michael Bowling
Solving Imperfect Information Games Using Decomposition. AAAI (2014)
Robert C. Holte, Neil Burch
Automatic move pruning for single-agent search. AI Commun. 27 (4) (2014)
Michael Johanson, Neil Burch, Richard Anthony Valenzano, Michael Bowling
Evaluating state-space abstractions in extensive-form games. AAMAS (2013)
Christopher Archibald, Neil Burch, Michael Bowling, Matthew Rutherford
Rating players in games with real-valued outcomes. AAMAS (2013)
Neil Burch, Michael Bowling
CFR-D: Solving Imperfect Information Games Using Decomposition CoRR (2013)
Nolan Bard, Michael Johanson, Neil Burch, Michael Bowling
Online implicit agent modelling. AAMAS (2013)
Richard G. Gibson, Neil Burch, Marc Lanctot, Duane Szafron
Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions. NIPS (2012)
Neil Burch, Robert C. Holte
Automatic Move Pruning Revisited. SOCS (2012)
Marc Lanctot, Richard G. Gibson, Neil Burch, Martin Zinkevich, Michael H. Bowling
No-Regret Learning in Extensive-Form Games with Imperfect Recall CoRR (2012)
Richard G. Gibson, Marc Lanctot, Neil Burch, Duane Szafron, Michael Bowling
Generalized Sampling and Variance in Counterfactual Regret Minimization. AAAI (2012)
Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner
Bayes' Bluff: Opponent Modelling in Poker CoRR (2012)
Marc Lanctot, Richard G. Gibson, Neil Burch, Michael Bowling
No-Regret Learning in Extensive-Form Games with Imperfect Recall. ICML (2012)
Michael Johanson, Nolan Bard, Neil Burch, Michael Bowling
Finding Optimal Abstract Strategies in Extensive-Form Games. AAAI (2012)
Peter Kai Yue Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer
Abstract: Block A* and Any-Angle Path-Planning. SOCS (2011)
Neil Burch, Robert C. Holte
Automatic Move Pruning in General Single-Player Games. SOCS (2011)
Peter Kai Yue Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer
Any-Angle Path Planning for Computer Games. AIIDE (2011)
Peter Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer
Block A*: Database-Driven Search with Applications in Any-Angle Path-Planning. AAAI (2011)
Neil Burch, Robert C. Holte, Martin Müller, David O'Connell, Jonathan Schaeffer
Automating Layouts of Sewers in Subdivisions. ECAI (2010)
Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte
Predicting the Performance of IDA* using Conditional Distributions. J. Artif. Intell. Res. 37 (2010)
Michael H. Bowling, Nicholas Abou Risk, Nolan Bard, Darse Billings, Neil Burch, Joshua Davidson, John Alexander Hawkin, Robert Holte, Michael Johanson, Morgan Kan, Bryce Paradis, Jonathan Schaeffer, David Schnizlein, Duane Szafron, Kevin Waugh, Martin Zinkevich
A demonstration of the Polaris poker system. AAMAS (2) (2009)
Nathan R. Sturtevant, Ariel Felner, Max Barer, Jonathan Schaeffer, Neil Burch
Memory-Based Heuristics for Explicit State Spaces. IJCAI (2009)
Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte
Predicting the Performance of IDA* with Conditional Distributions. AAAI (2008)
Michael H. Bowling, Michael Johanson, Neil Burch, Duane Szafron
Strategy evaluation in extensive games with importance sampling. ICML (2008)
Martin Zinkevich, Michael H. Bowling, Neil Burch
A New Algorithm for Generating Equilibria in Massive Zero-Sum Games. AAAI (2007)
Jonathan Schaeffer, Yngvi Björnsson, Neil Burch, Akihiro Kishimoto, Martin Müller, Robert Lake, Paul Lu, Steve Sutphen
Solving Checkers. IJCAI (2005)
Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner
Bayes? Bluff: Opponent Modelling in Poker. UAI (2005)
Darse Billings, Aaron Davidson, Terence Schauenberg, Neil Burch, Michael H. Bowling, Robert C. Holte, Jonathan Schaeffer, Duane Szafron
Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games. Computers and Games (2004)
Darse Billings, Neil Burch, Aaron Davidson, Robert C. Holte, Jonathan Schaeffer, Terence Schauenberg, Duane Szafron
Approximating Game-Theoretic Optimal Strategies for Full-scale Poker. IJCAI (2003)
Jonathan Schaeffer, Yngvi Björnsson, Neil Burch, Robert Lake, Paul Lu, Steve Sutphen
Building the Checkers 10-piece Endgame Databases. ACG (2003)