Neuroshard: towards automatic multi-objective sharding with deep reinforcement learning.
Tamer EldeebZhengneng ChenAsaf CidonJunfeng YangPublished in: aiDM@SIGMOD (2022)
Keyphrases
- multi objective
- reinforcement learning
- multi objective optimization
- evolutionary algorithm
- optimization algorithm
- objective function
- genetic algorithm
- function approximation
- multiple objectives
- particle swarm optimization
- multiobjective optimization
- state space
- nsga ii
- evolutionary optimization
- conflicting objectives
- multi objective optimization problems
- multi agent
- multi agent reinforcement learning
- optimal policy
- model free
- temporal difference
- reinforcement learning algorithms
- learning algorithm
- markov decision processes
- bi objective
- dynamic programming
- action selection
- learning problems
- deep learning
- machine learning
- differential evolution
- learning process
- optimum design
- multiobjective evolutionary algorithm
- robotic control