Game Theory

Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021 A Unified Approach to Fair Online Learning via Blackwell Approachability NeurIPS 2021 Bandit Linear Optimization for Sequential Decision Making and Extensive-Form Games AAAI 2021 Bounded Risk-Sensitive Markov Games: Forward Policy Design and Inverse Reward Learning with Iterative Reasoning and Cumulative Prospect Theory AAAI 2021 Catalytic Role Of Noise And Necessity Of Inductive Biases In The Emergence Of Compositional Communication NeurIPS 2021 CFR-MIX: Solving Imperfect Information Extensive-Form Games with Combinatorial Action Space IJCAI 2021 Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions ICLR 2021 Classification with Strategically Withheld Data AAAI 2021 Computational Analyses of the Electoral College: Campaigning Is Hard But Approximately Manageable AAAI 2021 Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games AAAI 2021 Computing the Proportional Veto Core AAAI 2021 Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results ICML 2021 Contract-based Inter-user Usage Coordination in Free-floating Car Sharing AAAI 2021 Cooperation in Threshold Public Projects with Binary Actions IJCAI 2021 Coupon Design in Advertising Systems AAAI 2021 Decentralized Q-learning in Zero-sum Markov Games NeurIPS 2021 Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games ICML 2021 Distance Polymatrix Coordination Games IJCAI 2021 Distributionally Robust Imitation Learning NeurIPS 2021 District-Fair Participatory Budgeting AAAI 2021 Efficient Querying for Cooperative Probabilistic Commitments AAAI 2021 Emerging Methods of Auction Design in Social Networks IJCAI 2021 Entropy-Guided Control Improvisation RSS 2021 Estimating Card Fitness for Discard in Gin Rummy AAAI 2021 Estimating α-Rank by Maximizing Information Gain AAAI 2021