nash equilibrium

Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games ICML 2020 Decentralized MCTS via Learned Teammate Models IJCAI 2020 Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions ICML 2020 Do GANs always have Nash equilibria? ICML 2020 Exploration Analysis in Finite-Horizon Turn-based Stochastic Games UAI 2020 Extra-gradient with player sampling for faster convergence in n-player games ICML 2020 Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020 Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications NeurIPS 2020 Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games ICML 2020 Flow-Based Network Creation Games IJCAI 2020 Gradient-free Online Learning in Continuous Games with Delayed Rewards ICML 2020 Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study ICML 2020 Individual-Based Stability in Hedonic Diversity Games AAAI 2020 Invariant Risk Minimization Games ICML 2020 Learning Quadratic Games on Networks ICML 2020 Learning Zero-Sum Simultaneous-Move Markov Games Using Function Approximation and Correlated Equilibrium COLT 2020 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity NeurIPS 2020 Near-Optimal Algorithms for Minimax Optimization COLT 2020 Near-Optimal Reinforcement Learning with Self-Play NeurIPS 2020 No-regret Learning in Price Competitions under Consumer Reference Effects NeurIPS 2020 Posterior sampling for multi-agent reinforcement learning: solving extensive games with imperfect information ICLR 2020 Preference learning along multiple criteria: A game-theoretic perspective NeurIPS 2020 Randomization matters How to defend against strong adversarial attacks ICML 2020 Real World Games Look Like Spinning Tops NeurIPS 2020 Robust Market Making via Adversarial Reinforcement Learning IJCAI 2020