Training a reinforcement learning agent

Abstract

A computer implemented method performed by a first network node in a communications network for training a first agent to select an action in order to perform a task according to a Reinforcement Learning, RL, process. The method comprises: i) determining a first action using the first agent, based on a first state in the communications network, ii) sending the first action and the first state to a second network node having a second agent, iii) receiving from the second network node, feedback based on output from the second agent, on taking the first action when the communications network is in the first state, and iv) using the feedback in the training of the first agent.

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