conftrace_

zero-sum game

190 papers

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Also known as

ZSG

Co-occurring keywords

nash equilibrium (398) game theory (854) multi-agent system (1819) markov game (86) regret bound (1926) online learning (1777) extensive-form game (86) multi-agent reinforcement learning (538) stochastic game (69) multi-agent learning (98)

Papers

Robust Subtask Learning for Compositional Generalization ICML 2023
Instance-dependent Sample Complexity Bounds for Zero-sum Matrix Games AISTATS 2023
Online Learning and Solving Infinite Games with an ERM Oracle COLT 2023
Multi-Player Zero-Sum Markov Games with Networked Separable Interactions NIPS 2023
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games AISTATS 2023
Logarithmic-Regret Quantum Learning Algorithms for Zero-Sum Games NIPS 2023
Convex-Concave Zero-Sum Markov Stackelberg Games NIPS 2023
Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games NIPS 2023
Zero-sum Polymatrix Markov Games: Equilibrium Collapse and Efficient Computation of Nash Equilibria NIPS 2023
On the Last-iterate Convergence in Time-varying Zero-sum Games: Extra Gradient Succeeds where Optimism Fails NIPS 2023
Towards Characterizing the First-order Query Complexity of Learning (Approximate) Nash Equilibria in Zero-sum Matrix Games NIPS 2023
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity JMLR 2023
Competitive Gradient Optimization ICML 2023
Adapting to game trees in zero-sum imperfect information games ICML 2023
Quantum Speedups for Zero-Sum Games via Improved Dynamic Gibbs Sampling ICML 2023
Half-Positional Objectives Recognized by Deterministic Büchi Automata (Extended Abstract) IJCAI 2023
Provably Efficient Generalized Lagrangian Policy Optimization for Safe Multi-Agent Reinforcement Learning L4DC 2023
Don’t Predict Counterfactual Values, Predict Expected Values Instead AAAI 2023
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games NIPS 2023
Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices NIPS 2023
Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023
No Weighted-Regret Learning in Adversarial Bandits with Delays JMLR 2022
Policy Learning for Robust Markov Decision Process with a Mismatched Generative Model AAAI 2022
Zero-Sum Stochastic Stackelberg Games NIPS 2022
Improved Generalization Bounds for Adversarially Robust Learning JMLR 2022