Neil Burch

According to our database, Neil Burch authored at least 50 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Look-ahead Search on Top of Policy Networks in Imperfect Information Games.

Ondrej Kubicek, Neil Burch, Viliam Lisý

CoRR, 2023

Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning.

Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas W. Anthony, Julien Pérolat

CoRR, 2023

Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract).

Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning.

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

CoRR, 2022

Rethinking formal models of partially observable multiagent decision making.

Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý

Artif. Intell., 2022

Approximate Exploitability: Learning a Best Response.

Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Player of Games.

Martin Schmid, Matej Moravcik, Neil Burch, Rudolf Kadlec, Joshua Davidson, Kevin Waugh, Nolan Bard, Finbarr Timbers, Marc Lanctot, G. Zacharias Holland, Elnaz Davoodi, Alden Christianson, Michael Bowling

CoRR, 2021

From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization.

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

Proceedings of the 38th International Conference on Machine Learning, 2021

Sound Algorithms in Imperfect Information Games.

Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Solving Common-Payoff Games with Approximate Policy Iteration.

Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Human-Agent Cooperation in Bridge Bidding.

Edward Lockhart, Neil Burch, Nolan Bard, Sebastian Borgeaud, Tom Eccles, Lucas Smaira, Ray Smith

CoRR, 2020

Sound Search in Imperfect Information Games.

Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling

CoRR, 2020

The Hanabi challenge: A new frontier for AI research.

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

Artif. Intell., 2020

2019

Revisiting CFR+ and Alternating Updates.

Neil Burch, Matej Moravcik, Martin Schmid

J. Artif. Intell. Res., 2019

Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning.

Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling

Proceedings of the 36th International Conference on Machine Learning, 2019

Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines.

Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games.

Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker.

Matej Moravcík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael H. Bowling

CoRR, 2017

Heads-up limit hold'em poker is solved.

Michael Bowling, Neil Burch, Michael Johanson, Oskari Tammelin

Commun. ACM, 2017

AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games.

Neil Burch, Martin Schmid, Matej Moravcik, Michael Bowling

Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

Solving Heads-Up Limit Texas Hold'em.

Oskari Tammelin, Neil Burch, Michael Johanson, Michael Bowling

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Automatic move pruning for single-agent search.

Robert C. Holte, Neil Burch

AI Commun., 2014

Using Response Functions to Measure Strategy Strength.

Trevor Davis, Neil Burch, Michael Bowling

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Solving Imperfect Information Games Using Decomposition.

Neil Burch, Michael Johanson, Michael Bowling

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

CFR-D: Solving Imperfect Information Games Using Decomposition

Neil Burch, Michael Bowling

CoRR, 2013

Evaluating state-space abstractions in extensive-form games.

Michael Johanson, Neil Burch, Richard Anthony Valenzano, Michael Bowling

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Online implicit agent modelling.

Nolan Bard, Michael Johanson, Neil Burch, Michael Bowling

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Rating players in games with real-valued outcomes.

Christopher Archibald, Neil Burch, Michael Bowling, Matthew J. Rutherford

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012

No-Regret Learning in Extensive-Form Games with Imperfect Recall

Marc Lanctot, Richard G. Gibson, Neil Burch, Martin Zinkevich, Michael H. Bowling

CoRR, 2012

Automatic Move Pruning Revisited.

Neil Burch, Robert C. Holte

Proceedings of the Fifth Annual Symposium on Combinatorial Search, 2012

Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions.

Richard G. Gibson, Neil Burch, Marc Lanctot, Duane Szafron

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

No-Regret Learning in Extensive-Form Games with Imperfect Recall.

Marc Lanctot, Richard G. Gibson, Neil Burch, Michael Bowling

Proceedings of the 29th International Conference on Machine Learning, 2012

Finding Optimal Abstract Strategies in Extensive-Form Games.

Michael Johanson, Nolan Bard, Neil Burch, Michael Bowling

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Generalized Sampling and Variance in Counterfactual Regret Minimization.

Richard G. Gibson, Marc Lanctot, Neil Burch, Duane Szafron, Michael Bowling

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Abstract: Block A* and Any-Angle Path-Planning.

Peter Kai Yue Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer

Proceedings of the Fourth Annual Symposium on Combinatorial Search, 2011

Automatic Move Pruning in General Single-Player Games.

Neil Burch, Robert C. Holte

Proceedings of the Fourth Annual Symposium on Combinatorial Search, 2011

Any-Angle Path Planning for Computer Games.

Peter Kai Yue Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer

Proceedings of the Seventh AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2011

Block A*: Database-Driven Search with Applications in Any-Angle Path-Planning.

Peter Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Predicting the Performance of IDA* using Conditional Distributions.

Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte

J. Artif. Intell. Res., 2010

Automating Layouts of Sewers in Subdivisions.

Neil Burch, Robert C. Holte, Martin Müller, David O'Connell, Jonathan Schaeffer

Proceedings of the ECAI 2010, 2010

2009

Memory-Based Heuristics for Explicit State Spaces.

Nathan R. Sturtevant, Ariel Felner, Max Barer, Jonathan Schaeffer, Neil Burch

Proceedings of the IJCAI 2009, 2009

A demonstration of the Polaris poker system.

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

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008

Strategy evaluation in extensive games with importance sampling.

Michael H. Bowling, Michael Johanson, Neil Burch, Duane Szafron

Proceedings of the Machine Learning, 2008

Predicting the Performance of IDA* with Conditional Distributions.

Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

A New Algorithm for Generating Equilibria in Massive Zero-Sum Games.

Martin Zinkevich, Michael H. Bowling, Neil Burch

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2005

Bayes? Bluff: Opponent Modelling in Poker.

Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner

Proceedings of the UAI '05, 2005

Solving Checkers.

Jonathan Schaeffer, Yngvi Björnsson, Neil Burch, Akihiro Kishimoto, Martin Müller, Robert Lake, Paul Lu, Steve Sutphen

Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2004

Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games.

Darse Billings, Aaron Davidson, Terence Schauenberg, Neil Burch, Michael H. Bowling, Robert C. Holte, Jonathan Schaeffer, Duane Szafron

Proceedings of the Computers and Games, 4th International Conference, 2004

2003

Approximating Game-Theoretic Optimal Strategies for Full-scale Poker.

Darse Billings, Neil Burch, Aaron Davidson, Robert C. Holte, Jonathan Schaeffer, Terence Schauenberg, Duane Szafron

Proceedings of the IJCAI-03, 2003

Building the Checkers 10-piece Endgame Databases.

Jonathan Schaeffer, Yngvi Björnsson, Neil Burch, Robert Lake, Paul Lu, Steve Sutphen

Proceedings of the Advances in Computer Games, 2003