Incentivized Learning in Principal-Agent Bandit Games

Understand

This work considers a repeated principal-agent bandit game, where the principal can only interact with her environment through the agent.

• The principal and the agent have misaligned objectives and the choice of action is only left to the agent.
• However, the principal can influence the agent's decisions by offering incentives which add up to his rewards.
• The principal aims to iteratively learn an incentive policy to maximize her own total utility.