Quantum machine learning with glow for episodic tasks and decision games

27 Jan 2016Jens ClausenHans J. Briegel

We consider a general class of models, where a reinforcement learning (RL) agent learns from cyclic interactions with an external environment via classical signals. Perceptual inputs are encoded as quantum states, which are subsequently transformed by a quantum channel representing the agent's memory, while the outcomes of measurements performed at the channel's output determine the agent's actions... (read more)

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