Deep Pareto Reinforcement Learning for Multi-Objective Recommender Systems.
Pan LiAlexander TuzhilinPublished in: CoRR (2024)
Keyphrases
- multi objective
- recommender systems
- reinforcement learning
- multi objective optimization
- evolutionary algorithm
- collaborative filtering
- optimization algorithm
- multiobjective optimization
- objective function
- multiple objectives
- genetic algorithm
- function approximation
- pareto optimal
- particle swarm optimization
- matrix factorization
- nsga ii
- user preferences
- user profiling
- user modeling
- state space
- trust aware
- multi objective optimization problems
- pareto optimal solutions
- model free
- cold start problem
- bi objective
- learning algorithm
- supervised learning
- markov decision processes
- recommendation algorithms
- temporal difference
- optimization problems
- action selection
- machine learning
- reinforcement learning algorithms
- transfer learning
- trade off
- dynamic programming
- optimal policy
- user profiles
- recommendation systems
- conflicting objectives
- recommendation quality
- optimal control