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ORCIDTuomas Sandholm
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- affiliation: Carnegie Mellon University, Pittsburgh, USA
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2020 – today
- 2023
[c304]Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm:
Meta-Learning in Games. ICLR 2023- [c303]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 - [c302]Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm:
Near-Optimal Φ-Regret Learning in Extensive-Form Games. ICML 2023: 814-839 - [c301]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: 40996-41018 - [c300]Redha Taguelmimt, Samir Aknine, Djamila Boukredera, Narayan Changder, Tuomas Sandholm:
Optimal Anytime Coalition Structure Generation Utilizing Compact Solution Space Representation. IJCAI 2023: 309-316 - [c299]Michael J. Curry, Tuomas Sandholm, John P. Dickerson:
Differentiable Economics for Randomized Affine Maximizer Auctions. IJCAI 2023: 2633-2641 - [c298]Carlos Martin, Tuomas Sandholm:
Finding Mixed-Strategy Equilibria of Continuous-Action Games without Gradients Using Randomized Policy Networks. IJCAI 2023: 2844-2852 - [i101]Carlos Martin, Tuomas Sandholm:
Computing equilibria by minimizing exploitability with best-response ensembles. CoRR abs/2301.08830 (2023) - [i100]Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games. CoRR abs/2301.11241 (2023) - [i99]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm:
Bicriteria Multidimensional Mechanism Design with Side Information. CoRR abs/2302.14234 (2023) - [i98]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 abs/2306.05216 (2023) - [i97]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 abs/2306.05221 (2023) - [i96]Yongyuan Liang, Yanchao Sun, Ruijie Zheng, Xiangyu Liu, Tuomas Sandholm, Furong Huang, Stephen McAleer:
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations. CoRR abs/2307.12062 (2023) - [i95]Carlos Martin, Tuomas Sandholm:
Planning in the imagination: High-level planning on learned abstract search spaces. CoRR abs/2308.08693 (2023) - [i94]Luca Carminati, Brian Hu Zhang, Gabriele Farina, Nicola Gatti, Tuomas Sandholm:
Hidden-Role Games: Equilibrium Concepts and Computation. CoRR abs/2308.16017 (2023) - 2022
- [c297]Gabriele Farina, Tuomas Sandholm:
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games. AAAI 2022: 4999-5007 - [c296]Brian Hu Zhang, Tuomas Sandholm:
Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions. AAAI 2022: 5252-5259 - [c295]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik:
Improved Sample Complexity Bounds for Branch-And-Cut. CP 2022: 3:1-3:19 - [c294]Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
On Last-Iterate Convergence Beyond Zero-Sum Games. ICML 2022: 536-581 - [c293]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. NeurIPS 2022 - [c292]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 - [c291]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm:
Maximizing Revenue under Market Shrinkage and Market Uncertainty. NeurIPS 2022 - [c290]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik:
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts. NeurIPS 2022 - [c289]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 - [c288]Brian Hu Zhang, Luca Carminati, Federico Cacciamani, Gabriele Farina, Pierriccardo Olivieri, Nicola Gatti, Tuomas Sandholm:
Subgame Solving in Adversarial Team Games. NeurIPS 2022 - [c287]Brian Hu Zhang, Tuomas Sandholm:
Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games. NeurIPS 2022 - [c286]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: 915-916 - [c285]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: 1119-1120 - [c284]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: 736-749 - [i93]Stephen McAleer, Kevin Wang, John B. Lanier, Marc Lanctot, Pierre Baldi, Tuomas Sandholm, Roy Fox:
Anytime PSRO for Two-Player Zero-Sum Games. CoRR abs/2201.07700 (2022) - [i92]Brian Hu Zhang, Gabriele Farina, Tuomas Sandholm:
Team Belief DAG Form: A Concise Representation for Team-Correlated Game-Theoretic Decision Making. CoRR abs/2202.00789 (2022) - [i91]Michael J. Curry, Tuomas Sandholm, John P. Dickerson:
Differentiable Economics for Randomized Affine Maximizer Auctions. CoRR abs/2202.02872 (2022) - [i90]Ioannis Anagnostides, Gabriele Farina, Christian Kroer, Andrea Celli, Tuomas Sandholm:
Faster No-Regret Learning Dynamics for Extensive-Form Correlated and Coarse Correlated Equilibria. CoRR abs/2202.05446 (2022) - [i89]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 abs/2203.07181 (2022) - [i88]Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm:
On Last-Iterate Convergence Beyond Zero-Sum Games. CoRR abs/2203.12056 (2022) - [i87]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 abs/2203.12074 (2022) - [i86]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik:
Structural Analysis of Branch-and-Cut and the Learnability of Gomory Mixed Integer Cuts. CoRR abs/2204.07312 (2022) - [i85]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 abs/2204.11417 (2022) - [i84]Stephen McAleer, Gabriele Farina, Marc Lanctot, Tuomas Sandholm:
ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret. CoRR abs/2206.04122 (2022) - [i83]Gabriele Farina, Ioannis Anagnostides, Haipeng Luo, Chung-Wei Lee, Christian Kroer, Tuomas Sandholm:
Near-Optimal No-Regret Learning for General Convex Games. CoRR abs/2206.08742 (2022) - [i82]Brian Hu Zhang, Tuomas Sandholm:
Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games. CoRR abs/2206.15395 (2022) - [i81]Stephen McAleer, John B. Lanier, Kevin A. Wang, Pierre Baldi, Roy Fox, Tuomas Sandholm:
Self-Play PSRO: Toward Optimal Populations in Two-Player Zero-Sum Games. CoRR abs/2207.06541 (2022) - [i80]Ioannis Anagnostides, Gabriele Farina, Tuomas Sandholm:
Near-Optimal $Φ$-Regret Learning in Extensive-Form Games. CoRR abs/2208.09747 (2022) - [i79]Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Zhiwei Steven Wu, Tuomas Sandholm:
Meta-Learning in Games. CoRR abs/2209.14110 (2022) - [i78]Carlos Martin, Tuomas Sandholm:
Finding mixed-strategy equilibria of continuous-action games without gradients using randomized policy networks. CoRR abs/2211.15936 (2022) - 2021
- [j53]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) - [c283]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent. AAAI 2021: 5363-5371 - [c282]Gabriele Farina, Robin Schmucker, Tuomas Sandholm:
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. AAAI 2021: 5372-5380 - [c281]Gabriele Farina, Tuomas Sandholm:
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games. AAAI 2021: 5381-5390 - [c280]Brian Hu Zhang, Tuomas Sandholm:
Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games. AAAI 2021: 5779-5788 - [c279]Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Generalization in Portfolio-Based Algorithm Selection. AAAI 2021: 12225-12232 - [c278]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: 3164-3173 - [c277]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm:
Learning Within an Instance for Designing High-Revenue Combinatorial Auctions. IJCAI 2021: 31-37 - [c276]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik:
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond. NeurIPS 2021: 4015-4027 - [c275]Gabriele Farina, Tuomas Sandholm:
Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium. NeurIPS 2021: 8845-8856 - [c274]Brian Hu Zhang, Tuomas Sandholm:
Subgame solving without common knowledge. NeurIPS 2021: 23993-24004 - [c273]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria. EC 2021: 432 - [c272]Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How much data is sufficient to learn high-performing algorithms? generalization guarantees for data-driven algorithm design. STOC 2021: 919-932 - [i77]Gabriele Farina, Tuomas Sandholm:
Model-Free Online Learning in Unknown Sequential Decision Making Problems and Games. CoRR abs/2103.04539 (2021) - [i76]Gabriele Farina, Robin Schmucker, Tuomas Sandholm:
Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games. CoRR abs/2103.04546 (2021) - [i75]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Better Regularization for Sequential Decision Spaces: Fast Convergence Rates for Nash, Correlated, and Team Equilibria. CoRR abs/2105.12954 (2021) - [i74]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik:
Sample Complexity of Tree Search Configuration: Cutting Planes and Beyond. CoRR abs/2106.04033 (2021) - [i73]Brian Hu Zhang, Tuomas Sandholm:
Subgame solving without common knowledge. CoRR abs/2106.06068 (2021) - [i72]Brian Hu Zhang, Tuomas Sandholm:
Team Correlated Equilibria in Zero-Sum Extensive-Form Games via Tree Decompositions. CoRR abs/2109.05284 (2021) - [i71]Gabriele Farina, Andrea Celli, Tuomas Sandholm:
Efficient Decentralized Learning Dynamics for Extensive-Form Coarse Correlated Equilibrium: No Expensive Computation of Stationary Distributions Required. CoRR abs/2109.08138 (2021) - [i70]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 abs/2111.06008 (2021) - [i69]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm, Ellen Vitercik:
Improved Learning Bounds for Branch-and-Cut. CoRR abs/2111.11207 (2021) - [i68]Gabriele Farina, Tuomas Sandholm:
Fast Payoff Matrix Sparsification Techniques for Structured Extensive-Form Games. CoRR abs/2112.03804 (2021) - 2020
- [j52]Christian Kroer, Tuomas Sandholm:
Limited lookahead in imperfect-information games. Artif. Intell. 283: 103218 (2020) - [j51]Eleonora Braggion, Nicola Gatti, Roberto Lucchetti, Tuomas Sandholm, Bernhard von Stengel:
Strong Nash equilibria and mixed strategies. Int. J. Game Theory 49(3): 699-710 (2020) - [j50]Avrim Blum, John P. Dickerson, Nika Haghtalab, Ariel D. Procaccia, Tuomas Sandholm, Ankit Sharma:
Ignorance Is Almost Bliss: Near-Optimal Stochastic Matching with Few Queries. Oper. Res. 68(1): 16-34 (2020) - [j49]Christian Kroer, Kevin Waugh, Fatma Kilinç-Karzan, Tuomas Sandholm:
Faster algorithms for extensive-form game solving via improved smoothing functions. Math. Program. 179(1): 385-417 (2020) - [c271]Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm:
Coarse Correlation in Extensive-Form Games. AAAI 2020: 1934-1941 - [c270]Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees. AAAI 2020: 3227-3234 - [c269]Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Refined bounds for algorithm configuration: The knife-edge of dual class approximability. ICML 2020: 580-590 - [c268]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Stochastic Regret Minimization in Extensive-Form Games. ICML 2020: 3018-3028 - [c267]Brian Hu Zhang, Tuomas Sandholm:
Sparsified Linear Programming for Zero-Sum Equilibrium Finding. ICML 2020: 11256-11267 - [c266]Maria-Florina Balcan, Siddharth Prasad, Tuomas Sandholm:
Efficient Algorithms for Learning Revenue-Maximizing Two-Part Tariffs. IJCAI 2020: 332-338 - [c265]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 - [c264]Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John Dickerson:
Improving Policy-Constrained Kidney Exchange via Pre-Screening. NeurIPS 2020 - [c263]Brian Hu Zhang, Tuomas Sandholm:
Small Nash Equilibrium Certificates in Very Large Games. NeurIPS 2020 - [i67]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Stochastic Regret Minimization in Extensive-Form Games. CoRR abs/2002.08493 (2020) - [i66]Carlos Martin, Tuomas Sandholm:
Efficient exploration of zero-sum stochastic games. CoRR abs/2002.10524 (2020) - [i65]Brian Hu Zhang, Tuomas Sandholm:
Sparsified Linear Programming for Zero-Sum Equilibrium Finding. CoRR abs/2006.03451 (2020) - [i64]Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Refined bounds for algorithm configuration: The knife-edge of dual class approximability. CoRR abs/2006.11827 (2020) - [i63]Brian Hu Zhang, Tuomas Sandholm:
Small Nash Equilibrium Certificates in Very Large Games. CoRR abs/2006.16387 (2020) - [i62]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent. CoRR abs/2007.14358 (2020) - [i61]Gabriele Farina, Tuomas Sandholm:
Polynomial-Time Computation of Optimal Correlated Equilibria in Two-Player Extensive-Form Games with Public Chance Moves and Beyond. CoRR abs/2009.04336 (2020) - [i60]Brian Hu Zhang, Tuomas Sandholm:
Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games. CoRR abs/2009.07384 (2020) - [i59]Gabriele Farina, Andrea Celli, Nicola Gatti, Tuomas Sandholm:
Faster Algorithms for Optimal Ex-Ante Coordinated Collusive Strategies in Extensive-Form Zero-Sum Games. CoRR abs/2009.10061 (2020) - [i58]Duncan C. McElfresh, Michael J. Curry, Tuomas Sandholm, John P. Dickerson:
Improving Policy-Constrained Kidney Exchange via Pre-Screening. CoRR abs/2010.12069 (2020) - [i57]Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Generalization in portfolio-based algorithm selection. CoRR abs/2012.13315 (2020)
2010 – 2019
- 2019
- [j48]Swaprava Nath, Tuomas Sandholm:
Efficiency and budget balance in general quasi-linear domains. Games Econ. Behav. 113: 673-693 (2019) - [j47]John P. Dickerson, Ariel D. Procaccia, Tuomas Sandholm:
Failure-Aware Kidney Exchange. Manag. Sci. 65(4): 1768-1791 (2019) - [c262]Noam Brown, Tuomas Sandholm:
Solving Imperfect-Information Games via Discounted Regret Minimization. AAAI 2019: 1829-1836 - [c261]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Online Convex Optimization for Sequential Decision Processes and Extensive-Form Games. AAAI 2019: 1917-1925 - [c260]Alberto Marchesi, Gabriele Farina, Christian Kroer, Nicola Gatti, Tuomas Sandholm:
Quasi-Perfect Stackelberg Equilibrium. AAAI 2019: 2117-2124 - [c259]Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Estimating Approximate Incentive Compatibility. EC 2019: 867 - [c258]Noam Brown, Adam Lerer, Sam Gross, Tuomas Sandholm:
Deep Counterfactual Regret Minimization. ICML 2019: 793-802 - [c257]Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm:
Stable-Predictive Optimistic Counterfactual Regret Minimization. ICML 2019: 1853-1862 - [c256]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Regret Circuits: Composability of Regret Minimizers. ICML 2019: 1863-1872 - [c255]Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. NeurIPS 2019: 5187-5197 - [c254]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions. NeurIPS 2019: 5222-5232 - [c253]Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. NeurIPS 2019: 9229-9239 - [i56]Gabriele Farina, Christian Kroer, Noam Brown, Tuomas Sandholm:
Stable-Predictive Optimistic Counterfactual Regret Minimization. CoRR abs/1902.04982 (2019) - [i55]Christian Kroer, Tuomas Sandholm:
Limited Lookahead in Imperfect-Information Games. CoRR abs/1902.06335 (2019) - [i54]Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Estimating Approximate Incentive Compatibility. CoRR abs/1902.09413 (2019) - [i53]Maria-Florina Balcan, Tuomas Sandholm, Ellen Vitercik:
Learning to Optimize Computational Resources: Frugal Training with Generalization Guarantees. CoRR abs/1905.10819 (2019) - [i52]Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks. CoRR abs/1905.12564 (2019) - [i51]Maria-Florina Balcan, Dan F. DeBlasio, Travis Dick, Carl Kingsford, Tuomas Sandholm, Ellen Vitercik:
How much data is sufficient to learn high-performing algorithms? CoRR abs/1908.02894 (2019) - [i50]Gabriele Farina, Tommaso Bianchi, Tuomas Sandholm:
Coarse Correlation in Extensive-Form Games. CoRR abs/1908.09893 (2019) - [i49]Gabriele Farina, Christian Kroer, Tuomas Sandholm:
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions. CoRR abs/1910.10906 (2019) - [i48]Gabriele Farina, Chun Kai Ling, Fei Fang, Tuomas Sandholm:
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium. CoRR abs/1910.12450 (2019) - 2018
- [c252]Christian Kroer, Gabriele Farina, Tuomas Sandholm:
Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead. AAAI Workshops 2018: 294-301 - [c251]Christian Kroer, Gabriele Farina, Tuomas Sandholm:
Robust Stackelberg Equilibria in Extensive-Form Games and Extension to Limited Lookahead. AAAI 2018: 1130-1137 - [c250]Maria-Florina Balcan, Travis Dick, Tuomas Sandholm, Ellen Vitercik:
Learning to Branch. ICML 2018: 353-362 - [c249]Gabriele Farina, Alberto Marchesi, Christian Kroer, Nicola Gatti, Tuomas Sandholm:
Trembling-Hand Perfection in Extensive-Form Games with Commitment. IJCAI 2018: 233-239 - [c248]Christian Kroer, Tuomas Sandholm:
A Unified Framework for Extensive-Form Game Abstraction with Bounds. NeurIPS 2018: 613-624 - [c247]Christian Kroer, Gabriele Farina, Tuomas Sandholm:
Solving Large Sequential Games with the Excessive Gap Technique. NeurIPS 2018: 872-882 - [c246]Gabriele Farina, Nicola Gatti, Tuomas Sandholm:
Practical exact algorithm for trembling-hand equilibrium refinements in games. NeurIPS 2018: 5044-5054 - [c245]Noam Brown, Tuomas Sandholm, Brandon Amos:
Depth-Limited Solving for Imperfect-Information Games. NeurIPS 2018: 7674-7685 - [c244]