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

Independent Learning in Constrained Markov Potential Games AISTATS 2024
On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024
Symmetric Equilibrium Learning of VAEs AISTATS 2024
Fast Last-Iterate Convergence of Learning in Games Requires Forgetful Algorithms NIPS 2024
Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling AAAI 2024
Heterogeneous-Agent Reinforcement Learning JMLR 2024
Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs IJCAI 2024
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property AAAI 2024
Content Filtering with Inattentive Information Consumers AAAI 2024
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning AAAI 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024
Decentralized Noncooperative Games with Coupled Decision-Dependent Distributions NIPS 2024
Policy Space Response Oracles: A Survey IJCAI 2024
Fast Policy Extragradient Methods for Competitive Games with Entropy Regularization JMLR 2024
Computing Optimal Equilibria in Repeated Games with Restarts IJCAI 2024
Accelerated Regularized Learning in Finite N-Person Games NIPS 2024
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
Block-Coordinate Methods and Restarting for Solving Extensive-Form Games NIPS 2023
Parallel Online Clustering of Bandits via Hedonic Game ICML 2023
Doubly Optimal No-Regret Learning in Monotone Games ICML 2023
Neural Stochastic Differential Games for Time-series Analysis ICML 2023
Computing Optimal Nash Equilibria in Multiplayer Games NIPS 2023
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling ICML 2023
No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand NIPS 2023