5 citations · 6 across the 4 of their papers we have counts for
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cs.LG2024★ 1 cited
Mitigating Distribution Shift in Model-based Offline RL via Shifts-aware Reward Learning
Wang Luo, Haoran Li, Zicheng Zhang +4
Model-based offline reinforcement learning trains policies using pre-collected datasets and learned environment models, eliminating the need for direct real-world environment inter…
cs.IR2024
Know in AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest
XiaoYu Wang, YongHui Guo, Hui Sheng +9
Real-time Bidding (RTB) advertisers wish to \textit{know in advance} the expected cost and yield of ad campaigns to avoid trial-and-error expenses. However, Campaign Performance Fo…