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Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.

Zhaochun RenNa HuangYidan WangPengjie RenJun MaJiahuan LeiXinlei ShiHengliang LuoJoemon M. JoseXin Xin
Published in: SIGIR (2023)
Keyphrases
  • recommender systems
  • reinforcement learning
  • state space
  • data sets
  • function approximation
  • neural network
  • multi agent
  • learning process
  • dynamic programming
  • hidden state