Recovering the Graph Underlying Networked Dynamical Systems under Partial Observability: A Deep Learning Approach.
Sergio MachadoAnirudh SridharPaulo GilJorge HenriquesJosé M. F. MouraAugusto SantosPublished in: AAAI (2023)
Keyphrases
- dynamical systems
- deep learning
- partial observability
- partially observable
- partially observable markov decision processes
- unsupervised learning
- dynamic systems
- state space
- machine learning
- mental models
- planning problems
- weakly supervised
- reinforcement learning
- planning under uncertainty
- belief state
- markov decision processes
- dynamic programming
- search space
- neural network