| A unified approach to reinforcement learning, quantal response equilibria, and two-player zero-sum games S Sokota, R D'Orazio, JZ Kolter, N Loizou, M Lanctot, I Mitliagkas, ... arXiv preprint arXiv:2206.05825, 2022 | 59 | 2022 |
| Hindsight and sequential rationality of correlated play D Morrill, R D'Orazio, R Sarfati, M Lanctot, JR Wright, AR Greenwald, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (6), 5584-5594, 2021 | 43 | 2021 |
| Efficient deviation types and learning for hindsight rationality in extensive-form games D Morrill, R D’Orazio, M Lanctot, JR Wright, M Bowling, AR Greenwald International Conference on Machine Learning, 7818-7828, 2021 | 38 | 2021 |
| Stochastic mirror descent: Convergence analysis and adaptive variants via the mirror stochastic polyak stepsize R D'Orazio, N Loizou, I Laradji, I Mitliagkas arXiv preprint arXiv:2110.15412, 2021 | 36 | 2021 |
| Solving common-payoff games with approximate policy iteration S Sokota, E Lockhart, F Timbers, E Davoodi, R D'Orazio, N Burch, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (11), 9695-9703, 2021 | 18 | 2021 |
| Alternative Function Approximation Parameterizations for Solving Games: An Analysis of -Regression Counterfactual Regret Minimization R D'Orazio, D Morrill, JR Wright, M Bowling arXiv preprint arXiv:1912.02967, 2019 | 11 | 2019 |
| Simultaneous prediction intervals for patient-specific survival curves S Sokota, R D'Orazio, K Javed, H Haider, R Greiner arXiv preprint arXiv:1906.10780, 2019 | 8 | 2019 |
| Abstracting imperfect information away from two-player zero-sum games S Sokota, R D’Orazio, CK Ling, DJ Wu, JZ Kolter, N Brown International Conference on Machine Learning, 32169-32193, 2023 | 6 | 2023 |
| Regret minimization with function approximation in extensive-form games R D'Orazio | 6 | 2020 |
| Optimistic and adaptive lagrangian hedging R D'Orazio, R Huang arXiv preprint arXiv:2101.09603, 2021 | 5 | 2021 |
| On stochastic mirror descent: Convergence analysis and adaptive variants R D’Orazio, N Loizou, I Laradji, I Mitliagkas Beyond First-Order Methods in ML Systems Workshop, Int. Conf. Machine Learning, 2021 | 3 | 2021 |
| Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games: Corrections D Morrill, R D'Orazio, M Lanctot, JR Wright, M Bowling, AR Greenwald arXiv preprint arXiv:2205.12031, 2022 | 1 | 2022 |
| Bounds for approximate regret-matching algorithms R D'Orazio, D Morrill, JR Wright arXiv preprint arXiv:1910.01706, 2019 | 1 | 2019 |
| Solving hidden monotone variational inequalities with surrogate losses R D'Orazio, D Vucetic, Z Liu, JL Kim, I Mitliagkas, G Gidel arXiv preprint arXiv:2411.05228, 2024 | | 2024 |
| Alternative Function Approximation Parameterizations for Solving Games R D’Orazio, D Morrill, JR Wright, M Bowling | | |
| Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games Supplementary D Morrill, R D’Orazio, M Lanctot, JR Wright, M Bowling, AR Greenwald | | |
Marc LanctotResearch Scientist, Google DeepMindVerified email at google.com
