conftrace_

zero-sum game

190 papers

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Also known as

ZSG

Co-occurring keywords

nash equilibrium (398) game theory (854) multi-agent system (1819) markov game (86) regret bound (1926) online learning (1777) extensive-form game (86) multi-agent reinforcement learning (538) stochastic game (69) multi-agent learning (98)

Papers

Team-Fictitious Play for Reaching Team-Nash Equilibrium in Multi-team Games NIPS 2024
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models NIPS 2024
No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation NIPS 2024
PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium JMLR 2024
Efficient Learning in Polyhedral Games via Best-Response Oracles AAAI 2024
Maximizing utility in multi-agent environments by anticipating the behavior of other learners NIPS 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games AAAI 2024
Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing AAAI 2024
Convergence of No-Swap-Regret Dynamics in Self-Play NIPS 2024
Local and Adaptive Mirror Descents in Extensive-Form Games NIPS 2024
Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games COLT 2024
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms NIPS 2024
Layered Graph Security Games IJCAI 2024
Differentially Private Reinforcement Learning with Self-Play NIPS 2024
Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games AISTATS 2024
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization JMLR 2024
The Attractor of the Replicator Dynamic in Zero-Sum Games ALT 2024
Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023
Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 2023
Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract) IJCAI 2023
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games NIPS 2023
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games NIPS 2023
Robust Subtask Learning for Compositional Generalization ICML 2023
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023