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Methodology
← Core AI
Artificial Intelligence
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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
Unknown Agents in Friends Oriented Hedonic Games: Stability and Complexity
AAAI 2019
Nonzero-sum Adversarial Hypothesis Testing Games
NIPS 2019
Manipulating a Learning Defender and Ways to Counteract
NIPS 2019
Learning Auctions with Robust Incentive Guarantees
NIPS 2019
Multiple Policy Value Monte Carlo Tree Search
IJCAI 2019
Optimistic Regret Minimization for Extensive-Form Games via Dilated Distance-Generating Functions
NIPS 2019
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
NIPS 2019
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback
NIPS 2019
Deep Reinforcement Learning for Green Security Games with Real-Time Information
AAAI 2019
Adversarial Machine Learning with Double Oracle
IJCAI 2019
Tackling Sparse Rewards in Real-Time Games with Statistical Forward Planning Methods
AAAI 2019
Non-Asymptotic Pure Exploration by Solving Games
NIPS 2019
Strategizing against No-regret Learners
NIPS 2019
A Robust Non-Clairvoyant Dynamic Mechanism for Contextual Auctions
NIPS 2019
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes
NIPS 2019
Modelling the Dynamics of Multiagent Q-Learning in Repeated Symmetric Games: a Mean Field Theoretic Approach
NIPS 2019
The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining
AAAI 2019
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games
AAAI 2019
Quasi-Perfect Stackelberg Equilibrium
AAAI 2019
Optimal Dynamic Auctions Are Virtual Welfare Maximizers
AAAI 2019
Detecting harassment in real-time as conversations develop
ACL 2019
Rethinking Generative Mode Coverage: A Pointwise Guaranteed Approach
NIPS 2019
Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games Using Baselines
AAAI 2019
Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games
AAAI 2019
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games
AAAI 2019
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