Hybrid Transfer in Deep Reinforcement Learning for Ads Allocation. (arXiv:2204.11589v2 [cs.IR] UPDATED)

Ads allocation, which involves allocating ads and organic items to limited
slots in feed with the purpose of maximizing platform revenue, has become a
research hotspot. Notice that, e-commerce platforms usually have multiple
entrances for different categories and some entrances have few visits. Data
from these entrances has low coverage, which makes it difficult for the agent
to learn. To address this challenge, we propose Similarity-based Hybrid
Transfer for Ads Allocation (SHTAA), which effectively transfers samples as
well as knowledge …

ads arxiv hybrid learning reinforcement reinforcement learning transfer