Game Theory

Iterative Empirical Game Solving via Single Policy Best Response ICLR 2021 Large-Scale Multi-Agent Deep FBSDEs ICML 2021 Last-iterate Convergence in Extensive-Form Games NeurIPS 2021 Learning Game-Theoretic Models of Multiagent Trajectories Using Implicit Layers AAAI 2021 Learning in Markets: Greed Leads to Chaos but Following the Price is Right IJCAI 2021 Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021 Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation IJCAI 2021 Learning Optimal Auctions with Correlated Valuations from Samples ICML 2021 Learning While Playing in Mean-Field Games: Convergence and Optimality ICML 2021 Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions AISTATS 2021 Loyalty in Cardinal Hedonic Games IJCAI 2021 Majority Vote in Social Networks: Make Random Friends or Be Stubborn to Overpower Elites IJCAI 2021 Making Paper Reviewing Robust to Bid Manipulation Attacks ICML 2021 Mapping Language to Programs using Multiple Reward Components with Inverse Reinforcement Learning EMNLP 2021 Market-Based Explanations of Collective Decisions AAAI 2021 Mind the Gap: Cake Cutting With Separation AAAI 2021 Mitigating Biases in Toxic Language Detection through Invariant Rationalization ACL 2021 Mixed Nash Equilibria in the Adversarial Examples Game ICML 2021 Modeling Precomputation In Games Played Under Computational Constraints IJCAI 2021 Modeling Voters in Multi-Winner Approval Voting AAAI 2021 Multi-Agent Abstract Argumentation Frameworks With Incomplete Knowledge of Attacks IJCAI 2021 Multi-agent Reinforcement Learning for Decentralized Coalition Formation Games AAAI 2021 Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers ICML 2021 Multi-Party Campaigning AAAI 2021 Multiplayer Bandit Learning, from Competition to Cooperation COLT 2021