Co-occurring keywords · papers mentioning both
Papers
Towards General Function Approximation in Zero-Sum Markov Games
ICLR 2022
Zero-Sum Stochastic Stackelberg Games
NeurIPS 2022
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach
EMNLP 2021
Chaos of Learning Beyond Zero-sum and Coordination via Game Decompositions
ICLR 2021
Computing Ex Ante Coordinated Team-Maxmin Equilibria in Zero-Sum Multiplayer Extensive-Form Games
AAAI 2021
Connecting Optimal Ex-Ante Collusion in Teams to Extensive-Form Correlation: Faster Algorithms and Positive Complexity Results
ICML 2021
Decentralized Q-learning in Zero-sum Markov Games
NeurIPS 2021
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games
ICML 2021
Double Oracle Algorithm for Computing Equilibria in Continuous Games
AAAI 2021
Equilibrium Refinement for the Age of Machines: The One-Sided Quasi-Perfect Equilibrium
NeurIPS 2021
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games
AAAI 2021
Exploration-Exploitation in Multi-Agent Competition: Convergence with Bounded Rationality
NeurIPS 2021
Faster Game Solving via Predictive Blackwell Approachability: Connecting Regret Matching and Mirror Descent
AAAI 2021
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization
NeurIPS 2021
Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function
AISTATS 2021
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
ICML 2021
Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games
NeurIPS 2021
Increasing Iterate Averaging for Solving Saddle-Point Problems
AAAI 2021
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport
ICML 2021
Last-iterate Convergence of Decentralized Optimistic Gradient Descent/Ascent in Infinite-horizon Competitive Markov Games
COLT 2021
Last Round Convergence and No-Dynamic Regret in Asymmetric Repeated Games
ALT 2021
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation
IJCAI 2021
Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
ICLR 2021
Matrix games with bandit feedback
UAI 2021
Minimax Adaptive Control for a Finite Set of Linear Systems
L4DC 2021