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Game Theory

929 directly classified papers

Papers per year

Papers

Pure-Past Action Masking AAAI 2024

Content Filtering with Inattentive Information Consumers AAAI 2024

Envy-Free House Allocation under Uncertain Preferences AAAI 2024

Improved Metric Distortion via Threshold Approvals AAAI 2024

Fair Lotteries for Participatory Budgeting AAAI 2024

Analytically Tractable Models for Decision Making under Present Bias AAAI 2024

Temporal Fairness in Multiwinner Voting AAAI 2024

Guide to Numerical Experiments on Elections in Computational Social Choice IJCAI 2024

Budget Feasible Mechanisms: A Survey IJCAI 2024

AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games NIPS 2024

Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NIPS 2024

Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024

Causal Strategic Learning with Competitive Selection AAAI 2024

Understanding Model Selection for Learning in Strategic Environments NIPS 2024

Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NIPS 2024

Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses AISTATS 2024

Learning to Price Homogeneous Data NIPS 2024

On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games NIPS 2024

The Complexity of Computing Robust Mediated Equilibria in Ordinal Games AAAI 2024

Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024

A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024

The Logic of Doxastic Strategies AAAI 2024

Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos AAAI 2024

Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024

Differentially Private Reinforcement Learning with Self-Play NIPS 2024