Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning.
Shauharda KhadkaEstelle AflaloMattias MarderAvrech Ben-DavidSantiago MiretShie MannorTamir HazanHanlin TangSomdeb MajumdarPublished in: ICLR (2021)
Keyphrases
- reinforcement learning
- function approximation
- directed graph
- graph theory
- state space
- machine learning
- graph model
- memory requirements
- genetic algorithm
- memory usage
- bipartite graph
- markov decision processes
- graph representation
- multi agent reinforcement learning
- graph based algorithm
- action space
- computing power
- graph partitioning
- weighted graph
- supervised learning
- graph matching
- optimal policy
- optimal control
- learning process
- graph structure
- dynamic programming
- graph theoretic
- search algorithm
- reinforcement learning algorithms
- memory space
- graph kernels
- random walk
- evolutionary optimization