Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations
(2024)
Journal Article
Gillman, E., Rose, D. C., & Garrahan, J. P. (in press). Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations. Physical Review Letters,
We present a framework to integrate tensor network (TN) methods with reinforcement learning (RL) for solving dynamical optimisation tasks. We consider the RL actor-critic method, a model-free approach for solving RL problems, and introduce TNs as the... Read More about Combining Reinforcement Learning and Tensor Networks, with an Application to Dynamical Large Deviations.