Sustainable Online Reinforcement Learning for Auto-bidding. (arXiv:2210.07006v1 [cs.LG])

Recently, auto-bidding technique has become an essential tool to increase the
revenue of advertisers. Facing the complex and ever-changing bidding
environments in the real-world advertising system (RAS), state-of-the-art
auto-bidding policies usually leverage reinforcement learning (RL) algorithms
to generate real-time bids on behalf of the advertisers. Due to safety
concerns, it was believed that the RL training process can only be carried out
in an offline virtual advertising system (VAS) that is built based on the
historical data generated in the …

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