zero-sum game

Mixed Nash Equilibria in the Adversarial Examples Game ICML 2021 Neural Auto-Curricula in Two-Player Zero-Sum Games NeurIPS 2021 Online Learning in Periodic Zero-Sum Games NeurIPS 2021 Online Learning with Simple Predictors and a Combinatorial Characterization of Minimax in 0/1 Games COLT 2021 On the Impossibility of Global Convergence in Multi-Loss Optimization ICLR 2021 Provably Sample Efficient Reinforcement Learning in Competitive Linear Quadratic Systems L4DC 2021 Reinforcement Learning for Constrained Markov Decision Processes AISTATS 2021 Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent NeurIPS 2021 Solving Partially Observable Stochastic Shortest-Path Games IJCAI 2021 Strategically efficient exploration in competitive multi-agent reinforcement learning UAI 2021 Temporal Induced Self-Play for Stochastic Bayesian Games IJCAI 2021 Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games NeurIPS 2021 Adversarial Policies: Attacking Deep Reinforcement Learning ICLR 2020 All-Pay Bidding Games on Graphs AAAI 2020 A mean-field analysis of two-player zero-sum games NeurIPS 2020 Chaos, Extremism and Optimism: Volume Analysis of Learning in Games NeurIPS 2020 Computing Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games AAAI 2020 Converging to Team-Maxmin Equilibria in Zero-Sum Multiplayer Games ICML 2020 Curriculum learning for multilevel budgeted combinatorial problems NeurIPS 2020 Deep Reinforcement Learning for General Game Playing AAAI 2020 Do GANs always have Nash equilibria? ICML 2020 Eyes-Closed Safety Kernels: Safety of Autonomous Systems Under Loss of Observability RSS 2020 Fast computation of Nash Equilibria in Imperfect Information Games ICML 2020 Finite Regret and Cycles with Fixed Step-Size via Alternating Gradient Descent-Ascent COLT 2020 Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study ICML 2020