EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems.
Yuanqing YuChongming GaoJiawei ChenHeng TangYuefeng SunQian ChenWeizhi MaMin ZhangPublished in: SIGIR (2024)
Keyphrases
- recommender systems
- reinforcement learning
- collaborative filtering
- matrix factorization
- learning algorithm
- model free
- function approximation
- user profiling
- user preferences
- user profiles
- optimal policy
- multi agent reinforcement learning
- data sparsity
- reinforcement learning algorithms
- trust aware
- cold start problem
- recommendation algorithms
- optimal control
- markov decision processes
- information filtering
- mobile robot
- machine learning
- multi agent
- supervised learning
- temporal difference learning
- user model
- product recommendation
- policy search
- robotic control
- prediction accuracy