# A Tensor Network Approach to Finite Markov Decision Processes

@article{Gillman2020ATN, title={A Tensor Network Approach to Finite Markov Decision Processes}, author={Edward Gillman and Dominic C Rose and Juan P. Garrahan}, journal={ArXiv}, year={2020}, volume={abs/2002.05185} }

Tensor network (TN) techniques - often used in the context of quantum many-body physics - have shown promise as a tool for tackling machine learning (ML) problems. The application of TNs to ML, however, has mostly focused on supervised and unsupervised learning. Yet, with their direct connection to hidden Markov chains, TNs are also naturally suited to Markov decision processes (MDPs) which provide the foundation for reinforcement learning (RL). Here we introduce a general TN formulation of…

## 2 Citations

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