Exploration and Regularization of the Latent Action Space in Recommendation.
Shuchang LiuQingpeng CaiBowen SunYuhao WangJi JiangDong ZhengKun GaiPeng JiangXiangyu ZhaoYongfeng ZhangPublished in: CoRR (2023)
Keyphrases
- action space
- action selection
- state space
- real valued
- markov decision processes
- reinforcement learning
- state and action spaces
- recommender systems
- collaborative filtering
- stochastic processes
- latent variables
- continuous state spaces
- single agent
- markov decision process
- markov chain
- sufficient conditions
- dynamic programming
- state variables
- prior knowledge
- machine learning