conftrace_

nash equilibrium

398 papers

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NE

Co-occurring keywords

game theory (854) zero-sum game (190) multi-agent system (1819) multi-agent reinforcement learning (538) extensive-form game (86) markov game (86) sample complexity (1169) regret minimization (315) regret bound (1926) multi-agent learning (98)

Papers

DO-GAN: A Double Oracle Framework for Generative Adversarial Networks CVPR 2022
Parameterized Complexity of Hotelling-Downs with Party Nominees IJCAI 2022
Safe Opponent-Exploitation Subgame Refinement NIPS 2022
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium NIPS 2022
On the convergence of policy gradient methods to Nash equilibria in general stochastic games NIPS 2022
No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent ICML 2022
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022
Minimax sample complexity for turn-based stochastic game UAI 2021
Cooperation in Threshold Public Projects with Binary Actions IJCAI 2021
Game-theoretic Analysis of Effort Allocation of Contributors to Public Projects IJCAI 2021
Modeling Precomputation In Games Played Under Computational Constraints IJCAI 2021
Learning Nash Equilibria in Zero-Sum Stochastic Games via Entropy-Regularized Policy Approximation IJCAI 2021
Distance Polymatrix Coordination Games IJCAI 2021
Mean Field Games Flock! The Reinforcement Learning Way IJCAI 2021
A Sharp Analysis of Model-based Reinforcement Learning with Self-Play ICML 2021
Large-Scale Multi-Agent Deep FBSDEs ICML 2021
Dynamic Game Theoretic Neural Optimizer ICML 2021
Learning in Nonzero-Sum Stochastic Games with Potentials ICML 2021
Learning While Playing in Mean-Field Games: Convergence and Optimality ICML 2021
Online Learning for Load Balancing of Unknown Monotone Resource Allocation Games ICML 2021
Infinite-Dimensional Optimization for Zero-Sum Games via Variational Transport ICML 2021
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization ICML 2021
On Characterizing GAN Convergence Through Proximal Duality Gap ICML 2021
Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021