A Neural Architecture for Designing Truthful and Efficient Auctions
Neural Design of Contests and All-Pay Auctions using Multi-Agent Simulation
Should I tear down this wall? Optimizing social metrics by evaluating novel actions
Evaluating Strategic Structures in Multi-Agent Inverse Reinforcement Learning
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent
Relational inductive biases, deep learning, and graph networks