Game AI

Nash Regret Guarantees for Linear Bandits NeurIPS 2023 Near-Optimal $Φ$-Regret Learning in Extensive-Form Games ICML 2023 Nesterov Meets Optimism: Rate-Optimal Separable Minimax Optimization ICML 2023 Networked Anti-coordination Games Meet Graphical Dynamical Systems: Equilibria and Convergence AAAI 2023 Network Effects in Performative Prediction Games ICML 2023 Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning NeurIPS 2023 Neural Stochastic Differential Games for Time-series Analysis ICML 2023 New Algorithms for the Fair and Efficient Allocation of Indivisible Chores IJCAI 2023 Non-Obvious Manipulability in Extensive-Form Mechanisms: The Revelation Principle for Single-Parameter Agents IJCAI 2023 No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand NeurIPS 2023 No-Regret Online Prediction with Strategic Experts NeurIPS 2023 No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown Utilities AISTATS 2023 On Imitation in Mean-field Games NeurIPS 2023 Online Learning and Solving Infinite Games with an ERM Oracle COLT 2023 Online Learning in Stackelberg Games with an Omniscient Follower ICML 2023 Online Mechanism Design for Information Acquisition ICML 2023 On Optimal Strategies for Wordle and General Guessing Games IJCAI 2023 On the Convergence of No-Regret Learning Dynamics in Time-Varying Games NeurIPS 2023 On the Interplay between Social Welfare and Tractability of Equilibria NeurIPS 2023 On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails NeurIPS 2023 On the Limitations of the Elo, Real-World Games are Transitive, not Additive AISTATS 2023 On the Robustness of Mechanism Design under Total Variation Distance NeurIPS 2023 On Undisputed Sets in Abstract Argumentation AAAI 2023 Open Problem: Is There a First-Order Method that Only Converges to Local Minimax Optima? COLT 2023 Opponent-Limited Online Search for Imperfect Information Games ICML 2023