Coin Game

The 'Coin Game' is a dataset/benchmark used to evaluate the interaction and performance of AI agents within a framework that combines reinforcement learning and principal-agent theory through a series of contracts.

Papers using Coin Game (2)

Principal-Agent Reinforcement Learning: Orchestrating AI Agents with Contracts2024Architectural Influence on Variational Quantum Circuits in Multi-Agent Reinforcement Learning: Evolutionary Strategies for Optimization2024