Neil Burch - RankMe

62 papers A* 21A 6B 3Journal 26Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Look-ahead Search on Top of Policy Networks in Imperfect Information Games. IJCAI Ondrej Kubícek, Neil Burch, Viliam Lisý
2023	J	`jnl`	Look-ahead Search on Top of Policy Networks in Imperfect Information Games. CoRR Ondrej Kubícek, Neil Burch, Viliam Lisý
2023	J	`jnl`	Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning. CoRR Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas W. Anthony, Julien Pérolat
2023	J	`jnl`	Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning. Trans. Mach. Learn. Res. Marc Lanctot, John Schultz, Neil Burch, Max Olan Smith, Daniel Hennes, Thomas Anthony, Julien Pérolat
2023	A*	`conf`	Rethinking Formal Models of Partially Observable Multiagent Decision Making (Extended Abstract). IJCAI Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
2022	A*	`conf`	Approximate Exploitability: Learning a Best Response. IJCAI Finbarr Timbers, Nolan Bard, Edward Lockhart, Marc Lanctot, Martin Schmid, Neil Burch, Julian Schrittwieser, Thomas Hubert, Michael Bowling
2022	J	`jnl`	Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. CoRR 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
2022	J	`jnl`	Rethinking formal models of partially observable multiagent decision making. Artif. Intell. Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
2021	A*	`conf`	From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. ICML 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
2021	J	`jnl`	Player of Games. CoRR 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
2021	A*	`conf`	Solving Common-Payoff Games with Approximate Policy Iteration. AAAI Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
2021	J	`jnl`	Solving Common-Payoff Games with Approximate Policy Iteration. CoRR Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot
2021	A	`conf`	Sound Algorithms in Imperfect Information Games. AAMAS Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling
2020	J	`jnl`	From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization. CoRR 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
2020	J	`jnl`	Human-Agent Cooperation in Bridge Bidding. CoRR Edward Lockhart, Neil Burch, Nolan Bard, Sebastian Borgeaud, Tom Eccles, Lucas Smaira, Ray Smith
2020	J	`jnl`	Sound Search in Imperfect Information Games. CoRR Michal Sustr, Martin Schmid, Matej Moravcík, Neil Burch, Marc Lanctot, Michael Bowling
2020	J	`jnl`	The Hanabi challenge: A new frontier for AI research. Artif. Intell. 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
2019	A*	`conf`	Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. ICML Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling
2019	J	`jnl`	Rethinking Formal Models of Partially Observable Multiagent Decision Making. CoRR Vojtech Kovarík, Martin Schmid, Neil Burch, Michael Bowling, Viliam Lisý
2019	J	`jnl`	Revisiting CFR+ and Alternating Updates. J. Artif. Intell. Res. Neil Burch, Matej Moravcik, Martin Schmid
2019	J	`jnl`	The Hanabi Challenge: A New Frontier for AI Research. CoRR 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
2019	A*	`conf`	Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines. AAAI Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling
2018	A*	`conf`	AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI Neil Burch, Martin Schmid, Matej Moravcik, Dustin Morrill, Michael Bowling
2018	J	`jnl`	Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning. CoRR Jakob N. Foerster, H. Francis Song, Edward Hughes, Neil Burch, Iain Dunning, Shimon Whiteson, Matthew M. Botvinick, Michael Bowling
2018	J	`jnl`	Revisiting CFR+ and Alternating Updates. CoRR Neil Burch, Matej Moravcik, Martin Schmid
2018	J	`jnl`	Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines. CoRR Martin Schmid, Neil Burch, Marc Lanctot, Matej Moravcik, Rudolf Kadlec, Michael Bowling
2017	—	`conf`	AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. AAAI Workshops Neil Burch, Martin Schmid, Matej Moravcik, Michael Bowling
2017	J	`jnl`	DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker. CoRR Matej Moravcík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael H. Bowling
2017	J	`jnl`	Heads-up limit hold'em poker is solved. Commun. ACM Michael Bowling, Neil Burch, Michael Johanson, Oskari Tammelin
2016	J	`jnl`	AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. CoRR Neil Burch, Martin Schmid, Matej Moravcik, Michael H. Bowling
2015	A*	`conf`	Solving Heads-Up Limit Texas Hold'em. IJCAI Oskari Tammelin, Neil Burch, Michael Johanson, Michael Bowling
2014	J	`jnl`	Automatic move pruning for single-agent search. AI Commun. Robert C. Holte, Neil Burch
2014	J	`jnl`	Predicting the Performance of IDA* using Conditional Distributions. CoRR Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte
2014	A*	`conf`	Solving Imperfect Information Games Using Decomposition. AAAI Neil Burch, Michael Johanson, Michael Bowling
2014	A*	`conf`	Using Response Functions to Measure Strategy Strength. AAAI Trevor Davis, Neil Burch, Michael Bowling
2013	J	`jnl`	CFR-D: Solving Imperfect Information Games Using Decomposition CoRR Neil Burch, Michael Bowling
2013	A	`conf`	Evaluating state-space abstractions in extensive-form games. AAMAS Michael Johanson, Neil Burch, Richard Anthony Valenzano, Michael Bowling
2013	A	`conf`	Online implicit agent modelling. AAMAS Nolan Bard, Michael Johanson, Neil Burch, Michael Bowling
2013	A	`conf`	Rating players in games with real-valued outcomes. AAMAS Christopher Archibald, Neil Burch, Michael Bowling, Matthew J. Rutherford
2012	B	`conf`	Automatic Move Pruning Revisited. SOCS Neil Burch, Robert C. Holte
2012	J	`jnl`	Bayes' Bluff: Opponent Modelling in Poker CoRR Finnegan Southey, Michael Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner
2012	—	`conf`	Efficient Monte Carlo Counterfactual Regret Minimization in Games with Many Player Actions. NIPS Richard G. Gibson, Neil Burch, Marc Lanctot, Duane Szafron
2012	A*	`conf`	Finding Optimal Abstract Strategies in Extensive-Form Games. AAAI Michael Johanson, Nolan Bard, Neil Burch, Michael Bowling
2012	A*	`conf`	Generalized Sampling and Variance in Counterfactual Regret Minimization. AAAI Richard G. Gibson, Marc Lanctot, Neil Burch, Duane Szafron, Michael Bowling
2012	J	`jnl`	No-Regret Learning in Extensive-Form Games with Imperfect Recall CoRR Marc Lanctot, Richard G. Gibson, Neil Burch, Martin Zinkevich, Michael H. Bowling
2012	A*	`conf`	No-Regret Learning in Extensive-Form Games with Imperfect Recall. ICML Marc Lanctot, Richard G. Gibson, Neil Burch, Michael Bowling
2011	B	`conf`	Abstract: Block A* and Any-Angle Path-Planning. SOCS Peter Kai Yue Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer
2011	—	`conf`	Any-Angle Path Planning for Computer Games. AIIDE Peter Kai Yue Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer
2011	B	`conf`	Automatic Move Pruning in General Single-Player Games. SOCS Neil Burch, Robert C. Holte
2011	A*	`conf`	Block A*: Database-Driven Search with Applications in Any-Angle Path-Planning. AAAI Peter Yap, Neil Burch, Robert C. Holte, Jonathan Schaeffer
2010	A	`conf`	Automating Layouts of Sewers in Subdivisions. ECAI Neil Burch, Robert C. Holte, Martin Müller, David O'Connell, Jonathan Schaeffer
2010	J	`jnl`	Predicting the Performance of IDA* using Conditional Distributions. J. Artif. Intell. Res. Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte
2009	—	`conf`	A demonstration of the Polaris poker system. AAMAS (2) 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
2009	A*	`conf`	Memory-Based Heuristics for Explicit State Spaces. IJCAI Nathan R. Sturtevant, Ariel Felner, Max Barer, Jonathan Schaeffer, Neil Burch
2008	A*	`conf`	Predicting the Performance of IDA* with Conditional Distributions. AAAI Uzi Zahavi, Ariel Felner, Neil Burch, Robert C. Holte
2008	A*	`conf`	Strategy evaluation in extensive games with importance sampling. ICML Michael H. Bowling, Michael Johanson, Neil Burch, Duane Szafron
2007	A*	`conf`	A New Algorithm for Generating Equilibria in Massive Zero-Sum Games. AAAI Martin Zinkevich, Michael H. Bowling, Neil Burch
2005	A	`conf`	Bayes? Bluff: Opponent Modelling in Poker. UAI Finnegan Southey, Michael H. Bowling, Bryce Larson, Carmelo Piccione, Neil Burch, Darse Billings, D. Chris Rayner
2005	A*	`conf`	Solving Checkers. IJCAI Jonathan Schaeffer, Yngvi Björnsson, Neil Burch, Akihiro Kishimoto, Martin Müller, Robert Lake, Paul Lu, Steve Sutphen
2004	—	`conf`	Game-Tree Search with Adaptation in Stochastic Imperfect-Information Games. Computers and Games Darse Billings, Aaron Davidson, Terence Schauenberg, Neil Burch, Michael H. Bowling, Robert C. Holte, Jonathan Schaeffer, Duane Szafron
2003	A*	`conf`	Approximating Game-Theoretic Optimal Strategies for Full-scale Poker. IJCAI Darse Billings, Neil Burch, Aaron Davidson, Robert C. Holte, Jonathan Schaeffer, Terence Schauenberg, Duane Szafron
2003	—	`conf`	Building the Checkers 10-piece Endgame Databases. ACG Jonathan Schaeffer, Yngvi Björnsson, Neil Burch, Robert Lake, Paul Lu, Steve Sutphen