Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning.
Dusan StamenkovicAlexandros KaratzoglouIoannis ArapakisXin XinKleomenis KatevasPublished in: WSDM (2022)
Keyphrases
- multi objective
- reinforcement learning
- multi objective optimization
- evolutionary algorithm
- optimization algorithm
- multiobjective optimization
- model free
- recommender systems
- multiple objectives
- genetic algorithm
- optimal policy
- reinforcement learning algorithms
- function approximation
- particle swarm optimization
- objective function
- conflicting objectives
- pareto optimal
- nsga ii
- multi objective optimization problems
- learning algorithm
- wide variety
- real world
- multi objective evolutionary algorithms
- temporal difference
- evolutionary optimization
- recommendation systems
- reinforcement learning methods
- markov decision processes
- user preferences
- policy search
- state space
- dynamic programming
- multi objective genetic algorithms
- bi objective
- learning problems
- transfer learning
- optimization problems
- simulated annealing
- machine learning