RLgraph: Modular Computation Graphs for Deep Reinforcement Learning.
Michael SchaarschmidtSven MikaKai FrickeEiko YonekiPublished in: MLSys (2019)
Keyphrases
- reinforcement learning
- reinforcement learning algorithms
- function approximation
- graph theory
- data sets
- subgraph isomorphism
- multi agent
- temporal difference
- graph mining
- graph matching
- median graph
- optimal control
- neural network
- state space
- graph databases
- search algorithm
- bayesian networks
- learning algorithm
- modular structure
- transition model