conftrace_

zero-sum game

190 papers

Explore in graph

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

Adversarial Machine Learning with Double Oracle IJCAI 2019
Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games NIPS 2019
Fast and Furious Learning in Zero-Sum Games: Vanishing Regret with Non-Vanishing Step Sizes NIPS 2019
Defending Elections against Malicious Spread of Misinformation AAAI 2019
Policy Optimization Provably Converges to Nash Equilibria in Zero-Sum Linear Quadratic Games NIPS 2019
Non-Cooperative Inverse Reinforcement Learning NIPS 2019
Interpretable Preference Learning: A Game Theoretic Framework for Large Margin On-Line Feature and Rule Learning AAAI 2019
Large Scale Learning of Agent Rationality in Two-Player Zero-Sum Games AAAI 2019
Online EXP3 Learning in Adversarial Bandits with Delayed Feedback NIPS 2019
Solving Partially Observable Stochastic Games with Public Observations AAAI 2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent IJCAI 2019
Competing Against Nash Equilibria in Adversarially Changing Zero-Sum Games ICML 2019
Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games COLT 2019
Open-ended learning in symmetric zero-sum games ICML 2019
Ex ante coordination and collusion in zero-sum multi-player extensive-form games NIPS 2018
Optimal Algorithms for Continuous Non-monotone Submodular and DR-Submodular Maximization NIPS 2018
Competitive Multi-agent Inverse Reinforcement Learning with Sub-optimal Demonstrations ICML 2018
Let’s be Honest: An Optimal No-Regret Framework for Zero-Sum Games ICML 2018
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness ICML 2018
Robust Inference for Multiclass Classification ALT 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments NIPS 2018
Acceleration through Optimistic No-Regret Dynamics NIPS 2018
Identify the Nash Equilibrium in Static Games with Random Payoffs ICML 2017
Online Reinforcement Learning in Stochastic Games NIPS 2017
Robust Adversarial Reinforcement Learning ICML 2017