Enhancing Generative Auto-bidding with Offline Reward Evaluation and Policy Search
ICLROral2026
TL;DR
Auto-bidding is a critical tool for advertisers to improve advertising performance. Recent progress has demonstrated that AI-Generated Bidding (AIGB), which learns a conditional generative planner from offline data, achieves superior performance compared to typical offline reinforcement learning (RL)-based auto-bidding methods.
Opening excerpt from the authors’ abstract. source
Read the paper
Topics
offline reinforcement learning reinforcement learning evaluation