AIGB: Generative Auto-bidding via Conditional Diffusion Modeling

Understand

Auto-bidding plays a crucial role in facilitating online advertising by automatically providing bids for advertisers.

• Reinforcement learning (RL) has gained popularity for auto-bidding.
• However, most current RL auto-bidding methods are modeled through the Markovian Decision Process (MDP), which assumes the Markovian state transition.
• This assumption restricts the ability to perform in long horizon scenarios and makes the model unstable when dealing with highly random online advertising environments.