Co-occurring keywords · papers mentioning both
Papers
Robust Multi-Agent Reinforcement Learning with Model Uncertainty
NeurIPS 2020
Selfish Robustness and Equilibria in Multi-Player Bandits
COLT 2020
Small Nash Equilibrium Certificates in Very Large Games
NeurIPS 2020
The Competitive Effects of Variance-based Pricing
IJCAI 2020
The Impact of Selfishness in Hypergraph Hedonic Games
AAAI 2020
An Improved Quasi-Polynomial Algorithm for Approximate Well-Supported Nash Equilibria
AAAI 2019
Cap-and-Trade Emissions Regulation: A Strategic Analysis
IJCAI 2019
Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games
ICML 2019
Competitive Gradient Descent
NeurIPS 2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
IJCAI 2019
Constraint Games for Stable and Optimal Allocation of Demands in SDN
IJCAI 2019
Convergence Analysis of Gradient-Based Learning in Continuous Games
UAI 2019
Convergence of Learning Dynamics in Information Retrieval Games
AAAI 2019
Correlation in Extensive-Form Games: Saddle-Point Formulation and Benchmarks
NeurIPS 2019
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
NeurIPS 2019
Equilibrium Characterization for Data Acquisition Games
IJCAI 2019
Evolving Action Abstractions for Real-Time Planning in Extensive-Form Games
AAAI 2019
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes
NeurIPS 2019
Finding Mixed Nash Equilibria of Generative Adversarial Networks
ICML 2019
Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function
ICML 2019
Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation
EMNLP 2019
Implicit Posterior Variational Inference for Deep Gaussian Processes
NeurIPS 2019
Interaction Matters: A Note on Non-asymptotic Local Convergence of Generative Adversarial Networks
AISTATS 2019
Learning Deviation Payoffs in Simulation-Based Games
AAAI 2019
Learning Mean-Field Games
NeurIPS 2019