Journal Article How Much Data Is Sufficient to Learn High-Performing Algorithms? 2024 • Journal of the ACM • 71(5): Balcan M-F, Deblasio D, Dick T, Kingsford C, Sandholm T, Vitercik E
Preprint Imperfect-Recall Games: Equilibrium Concepts and Their Complexity 2024 Tewolde E, Zhang BH, Oesterheld C, Zampetakis M, Sandholm T, Goldberg PW, Conitzer V
Conference Imperfect-Recall Games: Equilibrium Concepts and Their Complexity 2024 • IJCAI International Joint Conference on Artificial Intelligence • 2994-3004 Tewolde E, Zhang BH, Oesterheld C, Zampetakis M, Sandholm T, Goldberg P, Conitzer V
Journal Article Learning to Branch: Generalization Guarantees and Limits of Data-Independent Discretization 2024 • Journal of the ACM • 71(2): Balcan M-F, Dick T, Sandholm T, Vitercik E
Conference MEDIATOR INTERPRETATION AND FASTER LEARNING ALGORITHMS FOR LINEAR CORRELATED EQUILIBRIA IN GENERAL EXTENSIVE-FORM GAMES 2024 • 12th International Conference on Learning Representations, ICLR 2024 Zhang BH, Farina G, Sandholm T
Conference Model-Free Preference Elicitation 2024 • IJCAI International Joint Conference on Artificial Intelligence • 3493-3503 Martin C, Boutilier C, Meshi O, Sandholm T
Preprint New Sequence-Independent Lifting Techniques for Cutting Planes and When They Induce Facets 2024 Prasad S, Vitercik E, Balcan M-F, Sandholm T
Conference On the Complexity of Computing Sparse Equilibria and Lower Bounds for No-Regret Learning in Games 2024 • Leibniz International Proceedings in Informatics Anagnostides I, Kalavasis A, Sandholm T, Zampetakis M
Conference On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria 2024 • Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence • 9969-9976 Zhang BH, Sandholm T
Preprint On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria 2024 Zhang BH, Sandholm T
Journal Article Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property 2024 • Proceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence • 9451-9459 Anagnostides I, Panageas I, Farina G, Sandholm T
Preprint Scalable Mechanism Design for Multi-Agent Path Finding 2024 Friedrich P, Zhang Y, Curry M, Dierks L, McAleer S, Li J, Sandholm T, Seuken S
Conference Scalable Mechanism Design for Multi-Agent Path Finding 2024 • IJCAI International Joint Conference on Artificial Intelligence • 58-66 Friedrich P, Zhang Y, Curry M, Dierks L, McAleer S, Li J, Sandholm T, Seuken S
Conference Steering No-Regret Learners to a Desired Equilibrium 2024 73-74 Zhang BH, Farina G, Anagnostides I, Cacciamani F, McAleer S, Haupt A, Celli A, Gatti N, Conitzer V, Sandholm T
Preprint The Value of Recall in Extensive-Form Games 2024 Berker RE, Tewolde E, Anagnostides I, Sandholm T, Conitzer V
Conference TOWARD OPTIMAL POLICY POPULATION GROWTH IN TWO-PLAYER ZERO-SUM GAMES 2024 • 12th International Conference on Learning Representations, ICLR 2024 McAleer S, Lanier JB, Wang KA, Baldi P, Sandholm T, Fox R
Preprint ApproxED: Approximate exploitability descent via learned best responses 2023 Martin C, Sandholm T
Preprint Bicriteria Multidimensional Mechanism Design with Side Information 2023 Balcan M-F, Prasad S, Sandholm T
Conference Bicriteria Multidimensional Mechanism Design with Side Information 2023 • Advances in Neural Information Processing Systems • 36: Balcan MF, Prasad S, Sandholm T
Conference Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games 2023 • Advances in Neural Information Processing Systems Zhang BH, Farina G, Anagnostides I, Cacciamani F, McAleer S, Haupt A, Celli A, Gatti N, Conitzer V, Sandholm T
Preprint Computing Optimal Equilibria and Mechanisms via Learning in Zero-Sum Extensive-Form Games 2023 Zhang BH, Farina G, Anagnostides I, Cacciamani F, McAleer SM, Haupt AA, Celli A, Gatti N, Conitzer V, Sandholm T
Preprint Confronting Reward Model Overoptimization with Constrained RLHF 2023 Moskovitz T, Singh AK, Strouse D, Sandholm T, Salakhutdinov R, Dragan AD, McAleer S
Conference Differentiable Economics for Randomized Affine Maximizer Auctions 2023 • IJCAI International Joint Conference on Artificial Intelligence • 2633-2641 Curry M, Sandholm T, Dickerson J
Conference ESCHER: ESCHEWING IMPORTANCE SAMPLING IN GAMES BY COMPUTING A HISTORY VALUE FUNCTION TO ESTIMATE REGRET 2023 • 11th International Conference on Learning Representations, ICLR 2023 McAleer S, Farina G, Lanctot M, Sandholm T
Conference Finding Mixed-Strategy Equilibria of Continuous-Action Games without Gradients Using Randomized Policy Networks 2023 • IJCAI International Joint Conference on Artificial Intelligence • 2844-2852 Martin C, Sandholm T
