Batch-Constrained Distributional Reinforcement Learning for Session-based Recommendation.
Diksha GargPriyanka GuptaPankaj MalhotraLovekesh VigGautam ShroffPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- batch mode
- function approximation
- recommender systems
- collaborative filtering
- co occurrence
- supervised learning
- user preferences
- learning algorithm
- machine learning
- policy search
- reinforcement learning algorithms
- learning process
- web mining
- learning problems
- markov decision processes
- optimal control
- dynamic programming
- temporal difference learning
- reinforcement learning methods
- constrained problems
- quality prediction
- multi agent reinforcement learning
- multi agent