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

Provably Fast Convergence of Independent Natural Policy Gradient for Markov Potential Games NIPS 2023
An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games AAAI 2023
Policy Mirror Ascent for Efficient and Independent Learning in Mean Field Games ICML 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions NIPS 2023
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits ICML 2023
Independent Natural Policy Gradient always converges in Markov Potential Games AISTATS 2022
Learning in Stochastic Monotone Games with Decision-Dependent Data AISTATS 2022
A Natural Actor-Critic Framework for Zero-Sum Markov Games ICML 2022
On Last-Iterate Convergence Beyond Zero-Sum Games ICML 2022
Parameterized Complexity of Hotelling-Downs with Party Nominees IJCAI 2022
Fair, Individually Rational and Cheap Adjustment IJCAI 2022
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits ICML 2022
The Secretary Problem with Competing Employers on Random Edge Arrivals AAAI 2022
Generalization in Mean Field Games by Learning Master Policies AAAI 2022
Equivalence Analysis between Counterfactual Regret Minimization and Online Mirror Descent ICML 2022
Correlation-Based Algorithm for Team-Maxmin Equilibrium in Multiplayer Extensive-Form Games IJCAI 2022
On the Convergence of Fictitious Play: A Decomposition Approach IJCAI 2022
Coordinating Followers to Reach Better Equilibria: End-to-End Gradient Descent for Stackelberg Games AAAI 2022
Learning in Congestion Games with Bandit Feedback NIPS 2022
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game NIPS 2022
Consensus Multiplicative Weights Update: Learning to Learn using Projector-based Game Signatures ICML 2022
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning ICML 2022
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces ICML 2022
For Learning in Symmetric Teams, Local Optima are Global Nash Equilibria ICML 2022
Independent Policy Gradient for Large-Scale Markov Potential Games: Sharper Rates, Function Approximation, and Game-Agnostic Convergence ICML 2022