Gabriele Farina

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 121

Top Venues

Publications

Brian Hu Zhang, Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm
Efficient Φ-Regret Minimization with Low-Degree Swap Deviations in Extensive-Form Games. CoRR (2024)
Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar
LiteEFG: An Efficient Python Library for Solving Extensive-form Games. CoRR (2024)
Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
The Update-Equivalence Framework for Decision-Time Planning. ICLR (2024)
Constantinos Daskalakis, Gabriele Farina, Noah Golowich, Tuomas Sandholm, Brian Hu Zhang
A Lower Bound on Swap Regret in Extensive-Form Games. CoRR (2024)
Darshan Chakrabarti, Gabriele Farina, Christian Kroer
Efficient Learning in Polyhedral Games via Best-Response Oracles. AAAI (2024)
Gabriele Farina, Charilaos Pipis
Polynomial-Time Computation of Exact Φ-Equilibria in Polyhedral Games. CoRR (2024)
Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
The Consensus Game: Language Model Generation via Equilibrium Search. ICLR (2024)
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property. AAAI (2024)
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games. ICLR (2024)
Athul Paul Jacob, Gabriele Farina, Jacob Andreas
Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning. NAACL-HLT (2024)
Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms. CoRR (2024)
Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm
Near-Optimal Φ-Regret Learning in Extensive-Form Games. ICML (2023)
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Team Belief DAG: Generalizing the Sequence Form to Team Games for Fast Computation of Correlated Team Max-Min Equilibria via Regret Minimization. ICML (2023)
Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo
Regret Matching+: (In)Stability and Fast Convergence in Games. CoRR (2023)
Gabriele Farina, Charilaos Pipis
Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games. NeurIPS (2023)
Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo
Regret Matching+: (In)Stability and Fast Convergence in Games. NeurIPS (2023)
Gabriele Farina, Charilaos Pipis
Polynomial-Time Linear-Swap Regret Minimization in Imperfect-Information Sequential Games. CoRR (2023)
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games. NeurIPS (2023)
Luca Carminati, Brian Hu Zhang, Gabriele Farina, Nicola Gatti, Tuomas Sandholm
Hidden-Role Games: Equilibrium Concepts and Computation. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Extensive-Form Games. CoRR (2023)
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence Beyond the Minty Property. CoRR (2023)
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games. CoRR (2023)
Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm
Meta-Learning in Games. ICLR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Steering No-Regret Learners to Optimal Equilibria. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen Marcus McAleer, Andreas Alexander Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. CoRR (2023)
Athul Paul Jacob, Yikang Shen, Gabriele Farina, Jacob Andreas
The Consensus Game: Language Model Generation via Equilibrium Search. CoRR (2023)
Yang Cai, Gabriele Farina, Julien Grand-Clément, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Weiqiang Zheng
Last-Iterate Convergence Properties of Regret-Matching Algorithms in Games. CoRR (2023)
Stephen Marcus McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. ICLR (2023)
Stephen McAleer, Gabriele Farina, Gaoyue Zhou, Mingzhi Wang, Yaodong Yang, Tuomas Sandholm
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning. NeurIPS (2023)
Samuel Sokota, Gabriele Farina, David J. Wu, Hengyuan Hu, Kevin A. Wang, J. Zico Kolter, Noam Brown
The Update Equivalence Framework for Decision-Time Planning. CoRR (2023)
Darshan Chakrabarti, Gabriele Farina, Christian Kroer
Efficient Learning in Polyhedral Games via Best Response Oracles. CoRR (2023)
Brian Hu Zhang, Gabriele Farina, Ioannis Anagnostides, Federico Cacciamani, Stephen McAleer, Andreas A. Haupt, Andrea Celli, Nicola Gatti, Vincent Conitzer, Tuomas Sandholm
Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games. NeurIPS (2023)
Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. ICLR (2023)
Athul Paul Jacob, Gabriele Farina, Jacob Andreas
Regularized Conventions: Equilibrium Computation as a Model of Pragmatic Reasoning. CoRR (2023)
Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm
Near-Optimal No-Regret Learning Dynamics for General Convex Games. NeurIPS (2022)
Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Tuomas Sandholm
Uncoupled Learning Dynamics with O(log T) Swap Regret in Multiplayer Games. CoRR (2022)
Brian Hu Zhang, Gabriele Farina, Andrea Celli, Tuomas Sandholm
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation. EC (2022)
Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo
Clairvoyant Regret Minimization: Equivalence with Nemirovski's Conceptual Prox Method and Extension to General Convex Games. CoRR (2022)
Gabriele Farina, Chung-Wei Lee, Haipeng Luo, Christian Kroer
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games. ICML (2022)
Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Chung-Wei Lee, Haipeng Luo, Tuomas Sandholm
Swap Regret in Multiplayer Games. NeurIPS (2022)
Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Andrea Celli, Tuomas Sandholm
Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria. EC (2022)
Stephen McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. CoRR (2022)
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
On Last-Iterate Convergence Beyond Zero-Sum Games. ICML (2022)
Anton Bakhtin, David J. Wu, Adam Lerer, Jonathan Gray, Athul Paul Jacob, Gabriele Farina, Alexander H. Miller, Noam Brown
Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning. CoRR (2022)
Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm
Near-Optimal No-Regret Learning for General Convex Games. CoRR (2022)
Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games. NeurIPS (2022)
Luca Mesin, Paola Porcu, Debora Russu, Gabriele Farina, Luigi Borzì, Wei Zhang, Yuzhu Guo, Gabriella Olmo
A Multi-Modal Analysis of the Freezing of Gait Phenomenon in Parkinson's Disease. Sensors 22 (7) (2022)
Ioannis Anagnostides, Gabriele Farina, Ioannis Panageas, Tuomas Sandholm
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games. CoRR (2022)
Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Zhiwei Steven Wu, Tuomas Sandholm
Meta-Learning in Games. CoRR (2022)
Brian Hu Zhang, Luca Carminati, Federico Cacciamani, Gabriele Farina, Pierriccardo Olivieri, Nicola Gatti, Tuomas Sandholm
Subgame Solving in Adversarial Team Games. NeurIPS (2022)
Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Noah Golowich, Tuomas Sandholm
Near-optimal no-regret learning for correlated equilibria in multi-player general-sum games. STOC (2022)
Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm
On Last-Iterate Convergence Beyond Zero-Sum Games. CoRR (2022)
Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti
Simple Uncoupled No-regret Learning Dynamics for Extensive-form Correlated Equilibrium. J. ACM 69 (6) (2022)
Brian Hu Zhang, Gabriele Farina, Andrea Celli, Tuomas Sandholm
Optimal Correlated Equilibria in General-Sum Extensive-Form Games: Fixed-Parameter Algorithms, Hardness, and Two-Sided Column-Generation. CoRR (2022)
Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm
Near-Optimal $Φ$-Regret Learning in Extensive-Form Games. CoRR (2022)
Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Hengyuan Hu, Anton Bakhtin, Jacob Andreas, Noam Brown
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. ICML (2022)
Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm
Team Belief DAG Form: A Concise Representation for Team-Correlated Game-Theoretic Decision Making. CoRR (2022)
Gabriele Farina, Chung-Wei Lee, Haipeng Luo, Christian Kroer
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games. CoRR (2022)
Gabriele Farina, Tuomas Sandholm
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games. AAAI (2022)
Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Andrea Celli, Tuomas Sandholm
Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria. CoRR (2022)
Gabriele Farina, Tuomas Sandholm
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games. CoRR (2021)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria. EC (2021)
Gabriele Farina, Robin Schmucker, Tuomas Sandholm
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. AAAI (2021)
Gabriele Farina, Robin Schmucker, Tuomas Sandholm
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. CoRR (2021)
Gabriele Farina, Andrea Celli, Alberto Marchesi, Nicola Gatti
Simple Uncoupled No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. CoRR (2021)
Robin Schmucker, Gabriele Farina, James R. Faeder, Fabian Fröhlich, Ali Sinan Saglam, Tuomas Sandholm
Combination treatment optimization using a pan-cancer pathway model. PLoS Comput. Biol. 17 (12) (2021)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent. AAAI (2021)
Ioannis Anagnostides, Constantinos Daskalakis, Gabriele Farina, Maxwell Fishelson, Noah Golowich, Tuomas Sandholm
Near-Optimal No-Regret Learning for Correlated Equilibria in Multi-Player General-Sum Games. CoRR (2021)
Athul Paul Jacob, David J. Wu, Gabriele Farina, Adam Lerer, Anton Bakhtin, Jacob Andreas, Noam Brown
Modeling Strong and Human-Like Gameplay with KL-Regularized Search. CoRR (2021)
Gabriele Farina, Tuomas Sandholm
Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium. NeurIPS (2021)
Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results. ICML (2021)
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract). IJCAI (2021)
Gabriele Farina, Andrea Celli, Tuomas Sandholm
Efficient Decentralized Learning Dynamics for Extensive-Form Coarse Correlated Equilibrium: No Expensive Computation of Stationary Distributions Required. CoRR (2021)
Gabriele Farina, Tuomas Sandholm
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games. CoRR (2021)
Gabriele Farina, Tuomas Sandholm
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games. AAAI (2021)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria. CoRR (2021)
Gabriele Farina, Tuomas Sandholm
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond. NeurIPS (2020)
Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm
Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games. CoRR (2020)
Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm
Coarse Correlation in Extensive-Form Games. AAAI (2020)
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
No-Regret Learning Dynamics for Extensive-Form Correlated Equilibrium. NeurIPS (2020)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent. CoRR (2020)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Stochastic Regret Minimization in Extensive-Form Games. CoRR (2020)
Gabriele Farina, Tuomas Sandholm
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond. CoRR (2020)
Andrea Celli, Alberto Marchesi, Gabriele Farina, Nicola Gatti
No-regret learning dynamics for extensive-form correlated and coarse correlated equilibria. CoRR (2020)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Stochastic Regret Minimization in Extensive-Form Games. ICML (2020)
Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm
Quasi-Perfect Stackelberg Equilibrium. AAAI (2019)
Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm
Stable-Predictive Optimistic Counterfactual Regret Minimization. ICML (2019)
Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. CoRR (2019)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Regret Circuits: Composability of Regret Minimizers. ICML (2019)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games. AAAI (2019)
Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm
Coarse Correlation in Extensive-Form Games. CoRR (2019)
Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. NeurIPS (2019)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions. CoRR (2019)
Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. CoRR (2019)
Rui Silva, Gabriele Farina, Francisco S. Melo, Manuela Veloso
A Theoretical and Algorithmic Analysis of Configurable MDPs. ICAPS (2019)
Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. NeurIPS (2019)
Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm
Stable-Predictive Optimistic Counterfactual Regret Minimization. CoRR (2019)
Gabriele Farina, Christian Kroer, Tuomas Sandholm
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions. NeurIPS (2019)
Christian Kroer, Gabriele Farina, Tuomas Sandholm
Solving Large Sequential Games with the Excessive Gap Technique. CoRR (2018)
Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm
Ex ante coordination and collusion in zero-sum multi-player extensive-form games. NeurIPS (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gabriele Farina