Game AI

Multi-Task Learning as a Bargaining Game ICML 2022 Multi-Unit Auction in Social Networks with Budgets AAAI 2022 Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games UAI 2022 Near-Optimal Learning of Extensive-Form Games with Imperfect Information ICML 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022 Near-Optimal No-Regret Learning Dynamics for General Convex Games NeurIPS 2022 NeuPL: Neural Population Learning ICLR 2022 Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members NeurIPS 2022 No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation NeurIPS 2022 No-Regret Learning in Time-Varying Zero-Sum Games ICML 2022 No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022 NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search AAAI 2022 Off-Team Learning NeurIPS 2022 On Convergence of Gradient Descent Ascent: A Tight Local Analysis ICML 2022 On Convergence of Lookahead in Smooth Games AISTATS 2022 On Last-Iterate Convergence Beyond Zero-Sum Games ICML 2022 On the Convergence of Fictitious Play: A Decomposition Approach IJCAI 2022 On the convergence of policy gradient methods to Nash equilibria in general stochastic games NeurIPS 2022 On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022 On the Heterogeneity of Independent Learning Dynamics in Zero-sum Stochastic Games L4DC 2022 Opening up Minds with Argumentative Dialogues EMNLP 2022 Optimality and Stability in Non-Convex Smooth Games JMLR 2022 Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games NeurIPS 2022 Parameterized Complexity of Hotelling-Downs with Party Nominees IJCAI 2022 Peer Prediction for Learning Agents NeurIPS 2022