Solving Games with Functional Regret Estimation. - Kevin Waugh; Dustin Morrill; James Andrew Bagnell; Michael H. Bowling (AAAI, 2015)

DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker. - Matej Moravcík; Martin Schmid; Neil Burch; Viliam Lisý; Dustin Morrill; Nolan Bard; Trevor Davis 001; Kevin Waugh; Michael Johanson; Michael H. Bowling (CoRR, 2017)

AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games. - Neil Burch; Martin Schmid; Matej Moravcik; Dustin Morrill; Michael Bowling (AAAI, 2018)

Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. - Edward Lockhart; Marc Lanctot; Julien Pérolat; Jean-Baptiste Lespiau; Dustin Morrill; Finbarr Timbers; Karl Tuyls (IJCAI, 2019)

Neural Replicator Dynamics. - Shayegan Omidshafiei; Daniel Hennes; Dustin Morrill; Rémi Munos; Julien Pérolat; Marc Lanctot; Audrunas Gruslys; Jean-Baptiste Lespiau; Karl Tuyls (CoRR, 2019)

OpenSpiel: A Framework for Reinforcement Learning in Games. - Marc Lanctot; Edward Lockhart; Jean-Baptiste Lespiau; Vinícius Flores Zambaldi; Satyaki Upadhyay; Julien Pérolat; Sriram Srinivasan 005; Finbarr Timbers; Karl Tuyls; Shayegan Omidshafiei; Daniel Hennes; Dustin Morrill; et al. (CoRR, 2019)

Bounds for Approximate Regret-Matching Algorithms. - Ryan D'Orazio; Dustin Morrill; James R. Wright (CoRR, 2019)

Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. - Ryan D'Orazio; Dustin Morrill; James R. Wright; Michael Bowling (AAMAS, 2020)

Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. - 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 (AAMAS, 2020)

The Advantage Regret-Matching Actor-Critic. - 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; et al. (CoRR, 2020)

Hindsight and Sequential Rationality of Correlated Play. - Dustin Morrill; Ryan D'Orazio; Reca Sarfati; Marc Lanctot; James R. Wright; Amy R. Greenwald; Michael Bowling (AAAI, 2021)

Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. - Dustin Morrill; Ryan D'Orazio; Marc Lanctot; James R. Wright; Michael Bowling; Amy R. Greenwald (ICML, 2021)

Learning to Be Cautious. - Montaser Mohammedalamen; Dustin Morrill; Alexander Sieusahai; Yash Satsangi; Michael Bowling (CoRR, 2021)

The Partially Observable History Process. - Dustin Morrill; Amy R. Greenwald; Michael Bowling (CoRR, 2021)

Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration. - Dustin Morrill; Esra'a Saleh; Michael Bowling; Amy Greenwald (CoRR, 2022)

Composing Efficient, Robust Tests for Policy Selection. - Dustin Morrill; Thomas J. Walsh 001; Daniel Hernandez; Peter R. Wurman; Peter Stone 001 (UAI, 2023)