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conftrace_

zero-sum game

236 papers

ZSG

Papers

Don’t Predict Counterfactual Values, Predict Expected Values Instead AAAI 2023 Efficiently Computing Nash Equilibria in Adversarial Team Markov Games ICLR 2023 Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract) IJCAI 2023 Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023 Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games AISTATS 2023 Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices NeurIPS 2023 Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games NeurIPS 2023 MAESTRO: Open-Ended Environment Design for Multi-Agent Reinforcement Learning ICLR 2023 Meta-Learning in Games ICLR 2023 Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023 Multi-Player Zero-Sum Markov Games with Networked Separable Interactions NeurIPS 2023 Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games AISTATS 2023 Online Learning and Solving Infinite Games with an ERM Oracle COLT 2023 On the Convergence of No-Regret Learning Dynamics in Time-Varying Games NeurIPS 2023 On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails NeurIPS 2023 Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games NeurIPS 2023 Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning L4DC 2023 Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling ICML 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 Robust Subtask Learning for Compositional Generalization ICML 2023 Stochastic No-regret Learning for General Games with Variance Reduction ICLR 2023 Symmetric (Optimistic) Natural Policy Gradient for Multi-Agent Learning with Parameter Convergence AISTATS 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 Towards Optimal Randomized Strategies in Adversarial Example Game AAAI 2023