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← Core AI
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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
Approximate Dynamic Programming for Two-Player Zero-Sum Markov Games
ICML 2015
Is Approval Voting Optimal Given Approval Votes?
NIPS 2015
On-Line Learning Algorithms for Path Experts with Non-Additive Losses
COLT 2015
Fast Convergence of Regularized Learning in Games
NIPS 2015
Optimum Statistical Estimation with Strategic Data Sources
COLT 2015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent
NIPS 2015
Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top
ICML 2015
Learning Equilibria of Games via Payoff Queries
JMLR 2015
Budget Allocation Problem with Multiple Advertisers: A Game Theoretic View
ICML 2015
Approval Voting and Incentives in Crowdsourcing
ICML 2015
Regret-Based Pruning in Extensive-Form Games
NIPS 2015
The Hedge Algorithm on a Continuum
ICML 2015
Market Scoring Rules Act As Opinion Pools For Risk-Averse Agents
NIPS 2015
M-Best-Diverse Labelings for Submodular Energies and Beyond
NIPS 2015
Computing Nash Equilibria in Generalized Interdependent Security Games
NIPS 2014
Optimal Regret Minimization in Posted-Price Auctions with Strategic Buyers
NIPS 2014
An Analysis of Deceptive Robot Motion
RSS 2014
Conditional Swap Regret and Conditional Correlated Equilibrium
NIPS 2014
Causal Strategic Inference in Networked Microfinance Economies
NIPS 2014
Fairness in Multi-Agent Sequential Decision-Making
NIPS 2014
Sparse binary zero-sum games
ACML 2014
Learning Optimal Commitment to Overcome Insecurity
NIPS 2014
Set-Valued Approachability and Online Learning with Partial Monitoring
JMLR 2014
Higher-Order Regret Bounds with Switching Costs
COLT 2014
Learning Theory and Algorithms for revenue optimization in second price auctions with reserve
ICML 2014
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