Choosing the Best of Both Worlds: Diverse and Novel Recommendations through Multi-Objective Reinforcement Learning.
Dusan StamenkovicAlexandros KaratzoglouIoannis ArapakisXin XinKleomenis KatevasPublished in: CoRR (2021)
Keyphrases
- multi objective
- reinforcement learning
- evolutionary algorithm
- optimization algorithm
- multi objective optimization
- genetic algorithm
- multiple objectives
- recommender systems
- objective function
- multiobjective optimization
- function approximation
- conflicting objectives
- particle swarm optimization
- optimal policy
- multi objective optimization problems
- nsga ii
- robotic control
- reinforcement learning algorithms
- state space
- wide variety
- temporal difference
- optimum design
- pareto optimal
- multiobjective evolutionary algorithm
- evolutionary optimization
- multi objective evolutionary
- optimal control
- markov decision processes
- multi agent
- decision making
- search engine
- machine learning
- genetic programming
- optimization problems
- simulated annealing
- mobile robot
- making recommendations
- real world