Gabriele Farina
Orcid: 0000-0002-3976-0061
According to our database1,
Gabriele Farina
authored at least 85 papers
between 2015 and 2024.
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Bibliography
2024
A Policy-Gradient Approach to Solving Imperfect-Information Games with Iterate Convergence.
CoRR, 2024
CoRR, 2024
Efficient Φ-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games.
CoRR, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Decision and Game Theory for Security - 15th International Conference, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
CoRR, 2023
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Extensive-Form Games.
CoRR, 2023
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Sensors, 2022
Simple Uncoupled No-regret Learning Dynamics for Extensive-form Correlated Equilibrium.
J. ACM, 2022
Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games.
CoRR, 2022
CoRR, 2022
Team Belief DAG Form: A Concise Representation for Team-Correlated Game-Theoretic Decision Making.
CoRR, 2022
Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games.
Proceedings of the STOC '22: 54th Annual ACM SIGACT Symposium on Theory of Computing, Rome, Italy, June 20, 2022
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022
Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria.
Proceedings of the EC '22: The 23rd ACM Conference on Economics and Computation, Boulder, CO, USA, July 11, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
PLoS Comput. Biol., 2021
Efficient Decentralized Learning Dynamics for Extensive-Form Coarse Correlated Equilibrium: No Expensive Computation of Stationary Distributions Required.
CoRR, 2021
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria.
Proceedings of the EC '21: The 22nd ACM Conference on Economics and Computation, 2021
Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract).
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games.
CoRR, 2020
No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria.
CoRR, 2020
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the Twenty-Ninth International Conference on Automated Planning and Scheduling, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Adopting the Cascade Model in Ad Auctions: Efficiency Bounds and Truthful Algorithmic Mechanisms.
J. Artif. Intell. Res., 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
Decoding Hidden Markov Models Faster Than Viterbi Via Online Matrix-Vector (max, +)-Multiplication.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
CoRR, 2015
Proceedings of the Combinatorial Algorithms - 26th International Workshop, 2015