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Found 2 papers, 2 papers with code
Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
Their optimal policy typically maximizes the expected sum of rewards given at each step of the decision process.
Optimizing ZX-Diagrams with Deep Reinforcement Learning
ZX-diagrams are a powerful graphical language for the description of quantum processes with applications in fundamental quantum mechanics, quantum circuit optimization, tensor network simulation, and many more.
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