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Methodology
← Core AI
Artificial Intelligence
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Game AI
1774 directly classified papers
Papers per year
2006: 9
2007: 6
2008: 1
2009: 4
2010: 4
2011: 8
2012: 6
2013: 10
2014: 12
2015: 17
2016: 14
2017: 75
2018: 74
2019: 154
2020: 186
2021: 211
2022: 230
2023: 238
2024: 251
2025: 168
2026: 96
Papers
Expected Frequency Matrices of Elections: Computation, Geometry, and Preference Learning
NIPS 2022
Parameterized Complexity of Hotelling-Downs with Party Nominees
IJCAI 2022
Phragmén Rules for Degressive and Regressive Proportionality
IJCAI 2022
A Marriage between Adversarial Team Games and 2-player Games: Enabling Abstractions, No-regret Learning, and Subgame Solving
ICML 2022
Learning to Infer Structures of Network Games
ICML 2022
Inducing Equilibria via Incentives: Simultaneous Design-and-Play Ensures Global Convergence
NIPS 2022
Simple Mechanisms for Welfare Maximization in Rich Advertising Auctions
NIPS 2022
Safe Opponent-Exploitation Subgame Refinement
NIPS 2022
Subgame Solving in Adversarial Team Games
NIPS 2022
Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach
NIPS 2022
Dungeons and Data: A Large-Scale NetHack Dataset
NIPS 2022
Near-Optimal Learning of Extensive-Form Games with Imperfect Information
ICML 2022
Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games
NIPS 2022
Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
NIPS 2022
A Natural Actor-Critic Framework for Zero-Sum Markov Games
ICML 2022
Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
NIPS 2022
Leveraging the Hints: Adaptive Bidding in Repeated First-Price Auctions
NIPS 2022
Smooth Fictitious Play in Stochastic Games with Perturbed Payoffs and Unknown Transitions
NIPS 2022
When Combinatorial Thompson Sampling meets Approximation Regret
NIPS 2022
Peer Prediction for Learning Agents
NIPS 2022
Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games
NIPS 2022
Sequential Information Design: Learning to Persuade in the Dark
NIPS 2022
On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games
L4DC 2022
Biased Majority Opinion Dynamics: Exploiting Graph k-domination
IJCAI 2022
Automated Synthesis of Mechanisms
IJCAI 2022
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