PE-MORL combines a permutation equivariant learned auction environment with a pessimistically penalized Q-learning objective and reports 3.9-7.2% GMV gains over three baselines in deployed Taobao A/B tests.
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Permutation Equivariant Model-based Offline Reinforcement Learning for Auto-bidding
PE-MORL combines a permutation equivariant learned auction environment with a pessimistically penalized Q-learning objective and reports 3.9-7.2% GMV gains over three baselines in deployed Taobao A/B tests.