Dynamic Weights in Multi-Objective Deep Reinforcement Learning.
Axel AbelsDiederik M. RoijersTom LenaertsAnn NowéDenis SteckelmacherPublished in: ICML (2019)
Keyphrases
- multi objective
- reinforcement learning
- multi objective optimization
- evolutionary algorithm
- multiple objectives
- particle swarm optimization
- optimization algorithm
- reinforcement learning algorithms
- weighted sum
- state space
- optimal policy
- deep learning
- multiobjective optimization
- markov decision processes
- function approximation
- learning algorithm
- conflicting objectives
- multiobjective evolutionary algorithm
- pareto optimal
- neural network
- relative importance
- transfer learning
- linear combination
- genetic programming
- linear programming
- dynamic programming
- information retrieval