Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning.
Shauharda KhadkaEstelle AflaloMattias MarderAvrech Ben-DavidSantiago MiretHanlin TangShie MannorTamir HazanSomdeb MajumdarPublished in: CoRR (2020)
Keyphrases
- reinforcement learning
- structured data
- genetic algorithm
- graph representation
- temporal difference
- memory usage
- function approximation
- evolutionary optimization
- supervised learning
- optimal control
- markov decision processes
- graph theory
- graph theoretic
- memory requirements
- state space
- graph model
- weighted graph
- graph structure
- pairwise
- model free
- directed graph
- connected components
- dynamic programming
- random walk
- mobile robot
- limited memory
- reinforcement learning algorithms
- computing power
- bipartite graph
- memory size
- graph based algorithm
- undirected graph
- graph databases
- graph matching
- main memory
- learning process
- search algorithm
- learning algorithm