Dustin Morrill

24 papers A* 5A 3Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Learning to Be Cautious. Trans. Mach. Learn. Res. Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
2023	A	`conf`	Composing Efficient, Robust Tests for Policy Selection. UAI Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
2023	J	`jnl`	Composing Efficient, Robust Tests for Policy Selection. CoRR Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
2022	J	`jnl`	Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration. CoRR Dustin Morrill, Esra'a Saleh, Michael Bowling, Amy Greenwald
2021	A*	`conf`	Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. ICML Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald
2021	J	`jnl`	Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. CoRR Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald
2021	A*	`conf`	Hindsight and Sequential Rationality of Correlated Play. AAAI Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling
2021	J	`jnl`	Learning to Be Cautious. CoRR Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
2021	J	`jnl`	The Partially Observable History Process. CoRR Dustin Morrill, Amy R. Greenwald, Michael Bowling
2020	A	`conf`	Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. AAMAS Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
2020	J	`jnl`	Hindsight and Sequential Rationality of Correlated Play. CoRR Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling
2020	A	`conf`	Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. AAMAS Daniel Hennes, Dustin Morrill, Shayegan Omidshafiei, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Paavo Parmas, Edgar A. Duéñez-Guzmán, Karl Tuyls
2020	J	`jnl`	The Advantage Regret-Matching Actor-Critic. CoRR Audrunas Gruslys, Marc Lanctot, Rémi Munos, Finbarr Timbers, Martin Schmid, Julien Pérolat, Dustin Morrill, Vinícius Flores Zambaldi, Jean-Baptiste Lespiau, John Schultz, Mohammad Gheshlaghi Azar, Michael Bowling, Karl Tuyls
2019	J	`jnl`	Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization. CoRR Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
2019	J	`jnl`	Bounds for Approximate Regret-Matching Algorithms. CoRR Ryan D'Orazio, Dustin Morrill, James R. Wright
2019	A*	`conf`	Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. IJCAI Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls
2019	J	`jnl`	Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. CoRR Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls
2019	J	`jnl`	Neural Replicator Dynamics. CoRR Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls
2019	J	`jnl`	OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau, Vinícius Flores Zambaldi, Satyaki Upadhyay, Julien Pérolat, Sriram Srinivasan, Finbarr Timbers, Karl Tuyls, Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Paul Muller, Timo Ewalds, Ryan Faulkner, János Kramár, Bart De Vylder, Brennan Saeta, James Bradbury, David Ding, Sebastian Borgeaud, Matthew Lai, Julian Schrittwieser, Thomas W. Anthony, Edward Hughes, Ivo Danihelka, Jonah Ryan-Davis
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
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
2015	A*	`conf`	Solving Games with Functional Regret Estimation. AAAI Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael H. Bowling
2015	—	`conf`	Solving Games with Functional Regret Estimation. AAAI Workshop: Computer Poker and Imperfect Information Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael Bowling
2014	J	`jnl`	Solving Games with Functional Regret Estimation. CoRR Kevin Waugh, Dustin Morrill, J. Andrew Bagnell, Michael Bowling