Dustin Morrill

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 22

Top Topics

Policy Gradient

Regret Minimization

Multiagent Learning

Top Venues

Publications

Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
Composing Efficient, Robust Tests for Policy Selection. CoRR (2023)
Dustin Morrill, Thomas J. Walsh, Daniel Hernandez, Peter R. Wurman, Peter Stone
Composing Efficient, Robust Tests for Policy Selection. UAI (2023)
Dustin Morrill, Esra'a Saleh, Michael Bowling, Amy Greenwald
Interpolating Between Softmax Policy Gradient and Neural Replicator Dynamics with Capped Implicit Exploration. CoRR (2022)
Dustin Morrill, Amy R. Greenwald, Michael Bowling
The Partially Observable History Process. CoRR (2021)
Montaser Mohammedalamen, Dustin Morrill, Alexander Sieusahai, Yash Satsangi, Michael Bowling
Learning to Be Cautious. CoRR (2021)
Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy R. Greenwald
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. ICML (2021)
Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy R. Greenwald, Michael Bowling
Hindsight and Sequential Rationality of Correlated Play. AAAI (2021)
Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald
Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games. CoRR (2021)
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
The Advantage Regret-Matching Actor-Critic. CoRR (2020)
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
Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients. AAMAS (2020)
Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling
Hindsight and Sequential Rationality of Correlated Play. CoRR (2020)
Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization. AAMAS (2020)
Ryan D'Orazio, Dustin Morrill, James R. Wright
Bounds for Approximate Regret-Matching Algorithms. CoRR (2019)
Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of f-Regression Counterfactual Regret Minimization. CoRR (2019)
Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. CoRR (2019)
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
OpenSpiel: A Framework for Reinforcement Learning in Games. CoRR (2019)
Shayegan Omidshafiei, Daniel Hennes, Dustin Morrill, Rémi Munos, Julien Pérolat, Marc Lanctot, Audrunas Gruslys, Jean-Baptiste Lespiau, Karl Tuyls
Neural Replicator Dynamics. CoRR (2019)
Edward Lockhart, Marc Lanctot, Julien Pérolat, Jean-Baptiste Lespiau, Dustin Morrill, Finbarr Timbers, Karl Tuyls
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent. IJCAI (2019)
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)
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)
Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael Bowling
Solving Games with Functional Regret Estimation. AAAI Workshop: Computer Poker and Imperfect Information (2015)
Kevin Waugh, Dustin Morrill, James Andrew Bagnell, Michael H. Bowling
Solving Games with Functional Regret Estimation. AAAI (2015)
Kevin Waugh, Dustin Morrill, J. Andrew Bagnell, Michael Bowling
Solving Games with Functional Regret Estimation. CoRR (2014)