Game Theory

Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022 Multi-armed Bandit Algorithm against Strategic Replication AISTATS 2022 Multi-Leader Congestion Games with an Adversary AAAI 2022 Multi-Task Learning as a Bargaining Game ICML 2022 Multi-Unit Auction in Social Networks with Budgets AAAI 2022 Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs NeurIPS 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 2022 Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members NeurIPS 2022 Noise Robust Core-stable Coalitions of Hedonic Games ACML 2022 No-regret learning in games with noisy feedback: Faster rates and adaptivity via learning rate separation NeurIPS 2022 No-Regret Learning in Partially-Informed Auctions ICML 2022 No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022 On Improving Resource Allocations by Sharing AAAI 2022 On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging AISTATS 2022 On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games ICML 2022 Optimal Anonymous Independent Reward Scheme Design IJCAI 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 Pessimism meets VCG: Learning Dynamic Mechanism Design via Offline Reinforcement Learning ICML 2022 Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets ICML 2022 Picking the Right Winner: Why Tie-Breaking in Crowdsourcing Contests Matters IJCAI 2022 Proportional Public Decisions AAAI 2022 Provably convergent quasistatic dynamics for mean-field two-player zero-sum games ICLR 2022 Provably Efficient Policy Optimization for Two-Player Zero-Sum Markov Games AISTATS 2022 Public Signaling in Bayesian Ad Auctions IJCAI 2022