Challenges and Opportunities in Deep Reinforcement Learning with Graph Neural Networks: A Comprehensive review of Algorithms and Applications.
Sai MunikotiDeepesh AgarwalLaya DasMahantesh HalappanavarBalasubramaniam NatarajanPublished in: CoRR (2022)
Keyphrases
- neural network
- reinforcement learning
- graph theory
- learning algorithm
- real world
- pattern recognition
- computational complexity
- maximum flow
- state space
- function approximation
- weighted graph
- random graphs
- maximum clique
- function approximators
- depth first search
- reinforcement learning algorithms
- web graph
- lessons learned
- machine learning algorithms
- significant improvement
- bayesian networks