Game Theory

On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX AISTATS 2024 Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games COLT 2024 Optimal Attack and Defense for Reinforcement Learning AAAI 2024 Optimal Auction Design with User Coupons in Advertising Systems IJCAI 2024 Optimal Mechanism in a Dynamic Stochastic Knapsack Environment AAAI 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium JMLR 2024 Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization AAAI 2024 Plug-in Performative Optimization ICML 2024 Polynomial-Time Computation of Exact Φ-Equilibria in Polyhedral Games NeurIPS 2024 Prediction Accuracy of Learning in Games : Follow-the-Regularized-Leader meets Heisenberg ICML 2024 Pricing and Competition for Generative AI NeurIPS 2024 Principal-Agent Reward Shaping in MDPs AAAI 2024 Project-Fair and Truthful Mechanisms for Budget Aggregation AAAI 2024 Proportional Representation in Metric Spaces and Low-Distortion Committee Selection AAAI 2024 Pure Exploration in Bandits with Linear Constraints AISTATS 2024 Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NeurIPS 2024 Quantum algorithm for large-scale market equilibrium computation NeurIPS 2024 Randomized Truthful Auctions with Learning Agents NeurIPS 2024 Reachability of Fair Allocations via Sequential Exchanges AAAI 2024 Reciprocal Reward Influence Encourages Cooperation From Self-Interested Agents NeurIPS 2024 Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization AAAI 2024 Refined Characterizations of Approval-Based Committee Scoring Rules AAAI 2024 Regret Analysis of Bilateral Trade with a Smoothed Adversary JMLR 2024 Repeated Fair Allocation of Indivisible Items AAAI 2024