Game Theory

On the Capacitated Facility Location Problem with Scarce Resources UAI 2024 On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games NeurIPS 2024 On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria AAAI 2024 On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: a regret lower bound for WSU-UX AISTATS 2024 On the Role of Information Structure in Reinforcement Learning for Partially-Observable Sequential Teams and Games NeurIPS 2024 Opponent Modeling based on Subgoal Inference NeurIPS 2024 Opponent Modeling with In-context Search NeurIPS 2024 Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024 Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024 Ordinal Potential-based Player Rating AISTATS 2024 PAPAL: A Provable PArticle-based Primal-Dual ALgorithm for Mixed Nash Equilibrium JMLR 2024 Pay to (Not) Play: Monetizing Impatience in Mobile Games AAAI 2024 Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization AAAI 2024 Policy Aggregation NeurIPS 2024 Polynomial-Time Computation of Exact Φ-Equilibria in Polyhedral Games NeurIPS 2024 Predicting Real-World Penny Auction Durations by Integrating Game Theory and Machine Learning AAAI 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-Past Action Masking AAAI 2024 Putting Gale & Shapley to Work: Guaranteeing Stability Through Learning NeurIPS 2024 Randomized Strategic Facility Location with Predictions NeurIPS 2024 Randomized Truthful Auctions with Learning Agents NeurIPS 2024 Reasoning about Causality in Games (Abstract Reprint) AAAI 2024