Game Theory

Machine Learning-Powered Combinatorial Clock Auction AAAI 2024 MAgIC: Investigation of Large Language Model Powered Multi-Agent in Cognition, Adaptability, Rationality and Collaboration EMNLP 2024 Manipulation-Robust Selection of Citizens’ Assemblies AAAI 2024 Maximizing utility in multi-agent environments by anticipating the behavior of other learners NeurIPS 2024 Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method ACL 2024 Mechanism design augmented with output advice NeurIPS 2024 Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games ICLR 2024 Meta-Inverse Reinforcement Learning for Mean Field Games via Probabilistic Context Variables AAAI 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Mixed Fair Division: A Survey AAAI 2024 Monoculture in Matching Markets NeurIPS 2024 More Victories, Less Cooperation: Assessing Cicero’s Diplomacy Play ACL 2024 Multi-LLM Debate: Framework, Principals, and Interventions NeurIPS 2024 Multi-Winner Reconfiguration NeurIPS 2024 Nearly Equitable Allocations beyond Additivity and Monotonicity AAAI 2024 Near Optimal Adversarial Attacks on Stochastic Bandits and Defenses with Smoothed Responses AISTATS 2024 Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games AISTATS 2024 Non-excludable Bilateral Trade between Groups AAAI 2024 No-Regret Learning for Fair Multi-Agent Social Welfare Optimization NeurIPS 2024 No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes UAI 2024 One-to-Many Communication and Compositionality in Emergent Communication EMNLP 2024 Online Bayesian Persuasion Without a Clue NeurIPS 2024 Online Learning in Contextual Second-Price Pay-Per-Click Auctions AISTATS 2024 On Optimal Tradeoffs between EFX and Nash Welfare AAAI 2024 On scalable oversight with weak LLMs judging strong LLMs NeurIPS 2024