Co-occurring keywords · papers mentioning both
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