Codebase for Reinforcement Learning for Quantum Network Control with Application-Driven Objectives
A reinforcement learning (RL) framework written in C++ as a building block for quantum network control. The code implements the MDPs from the work titled "Reinforcement Learning for Quantum Network Control with Application-Driven Objectives," using policy gradients and the chain rule to optimize arbitrary non-linear ob...
Eric Yau, Alexandra Burushkina, Francisco Ferreira da Silva et al.
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