Multi-Objective Deep Reinforcement Learning.
Hossam MossalamYannis M. AssaelDiederik M. RoijersShimon WhitesonPublished in: CoRR (2016)
Keyphrases
- multi objective
- reinforcement learning
- multi objective optimization
- optimization algorithm
- evolutionary algorithm
- multiobjective optimization
- nsga ii
- function approximation
- reinforcement learning algorithms
- multi objective optimization problems
- multiple objectives
- particle swarm optimization
- state space
- objective function
- genetic algorithm
- pareto optimal
- evolutionary optimization
- machine learning
- learning algorithm
- markov decision processes
- conflicting objectives
- optimal policy
- hidden markov models
- multiobjective evolutionary algorithm
- temporal difference
- multi criteria
- function approximators
- temporal difference learning
- multi agent
- search algorithm
- learning process
- robotic control
- optimization problems
- neural network
- bi objective
- multi objective problems
- multi objective evolutionary
- multiagent evolutionary algorithm
- multi agent reinforcement learning
- action space
- metaheuristic
- dynamic programming
- differential evolution
- transfer learning