Auto Bidding

Auto-bidding automates the process of placing bids in online advertising auctions, aiming to maximize advertiser return on investment (ROI) within budget constraints. Current research heavily utilizes reinforcement learning (RL), exploring both offline and online training methods, with a focus on improving exploration-exploitation strategies and addressing the challenges of real-world, adversarial environments. Advanced model architectures, including generative models and hierarchical deep RL frameworks, are being developed to handle complex, multi-channel scenarios and improve bid prediction accuracy, leading to demonstrable improvements in key metrics like click-through rates and revenue.

Papers