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Found 2 papers, 1 papers with code
Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations
We present a framework to integrate tensor network (TN) methods with reinforcement learning (RL) for solving dynamical optimisation tasks.
A Tensor Network Approach to Finite Markov Decision Processes
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.
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