Game Theory

Variety-Seeking Jump Games on Graphs IJCAI 2025 Voter Priming Campaigns: Strategies, Equilibria, and Algorithms AAAI 2025 Weak Strategyproofness in Randomized Social Choice AAAI 2025 Welfare-Optimal Serial Dictatorships Have Polynomial Query Complexity AAAI 2025 A Bayesian Learning Algorithm for Unknown Zero-sum Stochastic Games with an Arbitrary Opponent AISTATS 2024 A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning ICLR 2024 Abstraction of Situation Calculus Concurrent Game Structures AAAI 2024 Accelerated Regularized Learning in Finite N-Person Games NeurIPS 2024 Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024 Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization NeurIPS 2024 Ad Auctions for LLMs via Retrieval Augmented Generation NeurIPS 2024 Adversarial Training Should Be Cast as a Non-Zero-Sum Game ICLR 2024 A Fairness-Driven Method for Learning Human-Compatible Negotiation Strategies EMNLP 2024 Aligning Individual and Collective Objectives in Multi-Agent Cooperation NeurIPS 2024 Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements AAAI 2024 Altruism in Facility Location Problems AAAI 2024 Analytically Tractable Models for Decision Making under Present Bias AAAI 2024 An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-Making EMNLP 2024 Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization ICLR 2024 Approximation Algorithms for Preference Aggregation Using CP-Nets AAAI 2024 Are LLMs Effective Negotiators? Systematic Evaluation of the Multifaceted Capabilities of LLMs in Negotiation Dialogues EMNLP 2024 Assume-Guarantee Reinforcement Learning AAAI 2024 AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games NeurIPS 2024 Autobidders with Budget and ROI Constraints: Efficiency, Regret, and Pacing Dynamics COLT 2024 Axioms for AI Alignment from Human Feedback NeurIPS 2024