game theory

Locally Fair Partitioning AAAI 2022 Machine-Learned Prediction Equilibrium for Dynamic Traffic Assignment AAAI 2022 Manipulating Elections by Changing Voter Perceptions IJCAI 2022 Mechanism Design Powered by Social Interactions: A Call to Arms IJCAI 2022 Model-Free Opponent Shaping ICML 2022 Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022 Multi-Leader Congestion Games with an Adversary AAAI 2022 Multi-Task Learning as a Bargaining Game ICML 2022 Near-Optimal Learning of Extensive-Form Games with Imperfect Information ICML 2022 Near-Optimal No-Regret Learning Dynamics for General Convex Games NeurIPS 2022 Non-Convex Bilevel Games with Critical Point Selection Maps NeurIPS 2022 No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation NeurIPS 2022 NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search AAAI 2022 OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control AAAI 2022 On Global-view Based Defense via Adversarial Attack and Defense Risk Guaranteed Bounds AISTATS 2022 On Infinite Separations Between Simple and Optimal Mechanisms NeurIPS 2022 On Last-Iterate Convergence Beyond Zero-Sum Games ICML 2022 On the Convergence of Fictitious Play: A Decomposition Approach IJCAI 2022 On the convergence of policy gradient methods to Nash equilibria in general stochastic games NeurIPS 2022 On-the-fly adaptation of patrolling strategies in changing environments UAI 2022 On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games ICML 2022 Optimality and Stability in Non-Convex Smooth Games JMLR 2022 Peer Prediction for Learning Agents NeurIPS 2022 Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters IJCAI 2022 Prevailing in the Dark: Information Walls in Strategic Games AAAI 2022