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Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games

Feb 13, 2021
Dustin Morrill, Ryan D'Orazio, Marc Lanctot, James R. Wright, Michael Bowling, Amy Greenwald

* 32 pages, 6 figures 

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Optimistic and Adaptive Lagrangian Hedging

Feb 03, 2021
Ryan D'Orazio, Ruitong Huang

* To be presented at the workshop on reinforcement learning and games at the AAAI 2021 conference 

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Solving Common-Payoff Games with Approximate Policy Iteration

Jan 11, 2021
Samuel Sokota, Edward Lockhart, Finbarr Timbers, Elnaz Davoodi, Ryan D'Orazio, Neil Burch, Martin Schmid, Michael Bowling, Marc Lanctot

* AAAI 2021 

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Hindsight and Sequential Rationality of Correlated Play

Dec 17, 2020
Dustin Morrill, Ryan D'Orazio, Reca Sarfati, Marc Lanctot, James R. Wright, Amy Greenwald, Michael Bowling

* Technical report for a paper to appear at AAAI 2021. 26 pages, 15 figures 

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Alternative Function Approximation Parameterizations for Solving Games: An Analysis of $f$-Regression Counterfactual Regret Minimization

Dec 06, 2019
Ryan D'Orazio, Dustin Morrill, James R. Wright, Michael Bowling

* 11 pages, includes appendix. arXiv admin note: text overlap with arXiv:1910.01706 

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Bounds for Approximate Regret-Matching Algorithms

Oct 03, 2019
Ryan D'Orazio, Dustin Morrill, James R. Wright

* Smooth Games Optimization and Machine Learning Workshop: Bridging Game Theory and Deep Learning (SGO&ML), at the Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Dec 14th, 2019, Vancouver, Canada 
* 4 pages + acknowledgements, references, and appendices (9 pages total) 

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Simultaneous Prediction Intervals for Patient-Specific Survival Curves

Jun 25, 2019
Samuel Sokota, Ryan D'Orazio, Khurram Javed, Humza Haider, Russell Greiner

* 7 pages, 7 figures, IJCAI 19 

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