Co-occurring keywords · papers mentioning both
Papers
Parallel Online Clustering of Bandits via Hedonic Game
ICML 2023
Policy Gradient Methods Find the Nash Equilibrium in N-player General-sum Linear-quadratic Games
JMLR 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games
ICML 2023
Policy Space Diversity for Non-Transitive Games
NeurIPS 2023
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation
NeurIPS 2023
Principal-Agent Boolean Games
IJCAI 2023
Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games
NeurIPS 2023
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling
ICML 2023
Regret-Minimizing Double Oracle for Extensive-Form Games
ICML 2023
Semi Bandit dynamics in Congestion Games: Convergence to Nash Equilibrium and No-Regret Guarantees.
ICML 2023
Socially Optimal Non-discriminatory Restrictions for Continuous-Action Games
AAAI 2023
Team-PSRO for Learning Approximate TMECor in Large Team Games via Cooperative Reinforcement Learning
NeurIPS 2023
The Equivalence of Dynamic and Strategic Stability under Regularized Learning in Games
NeurIPS 2023
The Power of Regularization in Solving Extensive-Form Games
ICLR 2023
The Symmetric Generalized Eigenvalue Problem as a Nash Equilibrium
ICLR 2023
Tight Inapproximability for Graphical Games
AAAI 2023
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games
NeurIPS 2023
Towards convergence to Nash equilibria in two-team zero-sum games
ICLR 2023
Uncoupled and Convergent Learning in Two-Player Zero-Sum Markov Games with Bandit Feedback
NeurIPS 2023
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria
NeurIPS 2023
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game
ICLR 2022
Almost Optimal Algorithms for Two-player Zero-Sum Linear Mixture Markov Games
ALT 2022
A Natural Actor-Critic Framework for Zero-Sum Markov Games
ICML 2022
A Unified Diversity Measure for Multiagent Reinforcement Learning
NeurIPS 2022
Competing for Resources: Estimating Adversary Strategy for Effective Plan Generation
AAAI 2022