nash equilibrium

Human Alignment of Large Language Models through Online Preference Optimisation ICML 2024 Imprecise Probabilities Meet Partial Observability: Game Semantics for Robust POMDPs IJCAI 2024 Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games ICML 2024 Independent Learning in Constrained Markov Potential Games AISTATS 2024 Is Knowledge Power? On the (Im)possibility of Learning from Strategic Interactions NeurIPS 2024 Layered Graph Security Games IJCAI 2024 Learning ε-Nash equilibrium stationary policies in stochastic games with unknown independent chains using online mirror descent L4DC 2024 Learning Equilibria in Adversarial Team Markov Games: A Nonconvex-Hidden-Concave Min-Max Optimization Problem NeurIPS 2024 Learning Extensive-Form Perfect Equilibria in Two-Player Zero-Sum Sequential Games AISTATS 2024 Learning Nash Equilibria in Rank-1 Games ICLR 2024 Learning Optimal Tax Design in Nonatomic Congestion Games NeurIPS 2024 Learning Regularized Graphon Mean-Field Games with Unknown Graphons JMLR 2024 Look-ahead Search on Top of Policy Networks in Imperfect Information Games IJCAI 2024 Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games AAAI 2024 Minimally Modifying a Markov Game to Achieve Any Nash Equilibrium and Value ICML 2024 Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent IJCAI 2024 Model-Based RL for Mean-Field Games is not Statistically Harder than Single-Agent RL ICML 2024 Multi-Sender Persuasion: A Computational Perspective ICML 2024 Nash Learning from Human Feedback ICML 2024 Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits AISTATS 2024 No Free Lunch Theorem and Black-Box Complexity Analysis for Adversarial Optimisation NeurIPS 2024 No-regret Learning in Harmonic Games: Extrapolation in the Face of Conflicting Interests NeurIPS 2024 No-Regret Learning of Nash Equilibrium for Black-Box Games via Gaussian Processes UAI 2024 On the Capacitated Facility Location Problem with Scarce Resources UAI 2024 On the Statistical Efficiency of Mean-Field Reinforcement Learning with General Function Approximation AISTATS 2024