game theory

An Algorithmic Theory of Markets and Their Application to Decentralized Markets AAAI 2022 Analyzing and Designing Strategic Environments in Social Domains IJCAI 2022 An Online Learning Approach towards Far-sighted Emergency Relief Planning under Intentional Attacks in Conflict Areas IJCAI 2022 Approximate Exploitability: Learning a Best Response IJCAI 2022 Approximately EFX Allocations for Indivisible Chores IJCAI 2022 A Unified Diversity Measure for Multiagent Reinforcement Learning NeurIPS 2022 Automated Synthesis of Generalized Invariant Strategies via Counterexample-Guided Strategy Refinement AAAI 2022 Automated Synthesis of Mechanisms IJCAI 2022 Bayesian Persuasion for Algorithmic Recourse NeurIPS 2022 Bayesian Persuasion in Sequential Decision-Making AAAI 2022 Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update NeurIPS 2022 Can Buyers Reveal for a Better Deal? IJCAI 2022 Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation AAAI 2022 Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures ICML 2022 Controlling the Spread of Two Secrets in Diverse Social Networks (Student Abstract) AAAI 2022 Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games IJCAI 2022 Decentralized Local Stochastic Extra-Gradient for Variational Inequalities NeurIPS 2022 Deep Interactive Motion Prediction and Planning: Playing Games with Motion Prediction Models L4DC 2022 Differentially private SGDA for minimax problems UAI 2022 Distributed Learning with Strategic Users: A Repeated Game Approach AAAI 2022 DO-GAN: A Double Oracle Framework for Generative Adversarial Networks CVPR 2022 Domain Adversarial Training: A Game Perspective ICLR 2022 Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent NeurIPS 2022 Equilibrium Learning in Auction Markets AAAI 2022 Exploitability Minimization in Games and Beyond NeurIPS 2022