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Game AI

1774 directly classified papers

Papers per year

Papers

Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers ICML 2021

Mixed Nash Equilibria in the Adversarial Examples Game ICML 2021

Modelling Behavioural Diversity for Learning in Open-Ended Games ICML 2021

From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021

Adversarial Dueling Bandits ICML 2021

On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021

Making Paper Reviewing Robust to Bid Manipulation Attacks ICML 2021

Learning to Stop: Dynamic Simulation Monte-Carlo Tree Search AAAI 2021

Reaching Individually Stable Coalition Structures in Hedonic Games AAAI 2021

Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies AAAI 2021

Computing Quantal Stackelberg Equilibrium in Extensive-Form Games AAAI 2021

Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games AAAI 2021

Safe Search for Stackelberg Equilibria in Extensive-Form Games AAAI 2021

Trembling-Hand Perfection and Correlation in Sequential Games AAAI 2021

Facility’s Perspective to Fair Facility Location Problems AAAI 2021

Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games AAAI 2021

Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory AAAI 2021

Gaming Helps! Learning from Strategic Interactions in Natural Dynamics AISTATS 2021

On the Suboptimality of Negative Momentum for Minimax Optimization AISTATS 2021

A Model of Fake Data in Data-driven Analysis JMLR 2020

Optimal Approximation - Smoothness Tradeoffs for Soft-Max Functions NIPS 2020

A Game-Theoretic Analysis of the Empirical Revenue Maximization Algorithm with Endogenous Sampling NIPS 2020

Evaluating and Rewarding Teamwork Using Cooperative Game Abstractions NIPS 2020

Small Nash Equilibrium Certificates in Very Large Games NIPS 2020

Preference learning along multiple criteria: A game-theoretic perspective NIPS 2020