Abstract
In reinforcement learning, a key question for applications is how fast agents can learn. By introducing an agent capable of interacting classically as well as quantum-mechanically with its environment, we experimentally prove that a speed-up in the agent’s learning time is possible.
© 2021 The Author(s)
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