Reinforcement learning for multi-access traffic management

One or more non-transitory computer readable media (NTCRM) comprising instructions to cause at least one processor circuit of a computing device to at least:

• operate a representation network of a Reinforcement Learning Model (RLM) to generate a representation of a multi-access communication environment based on observation data collected from the multi-access communication environment;
• operate an actor network of the RLM to determine one or more actions based on the generated representation and feedback from a critic network of the RLM, the one or more actions including one or more traffic management strategies for one or more of a plurality of multi-access user equipment (UE), and the one or more actions are to cause one or more of the multi-access UEs to perform one or more operations according to the one or more traffic management strategies;
• operate the critic network to determine the feedback for the one or more actions;
• communicate the one or more actions to one or more of the multi-access UEs;
• obtain action data associated with one or more other actions taken by one or more of the multi-access UEs;
• train the RLM based on the observation data and the action data;
• and
• deploy the RLM to one or more of the multi-access UEs, execution of the deployed RLM to derive subsequent actions by one or more of the multi-access UEs.

An apparatus comprising:

• interface circuitry to collect observation data from a multi-access communication environment;
• a non-transitory machine-readable medium including machine-readable instructions;
• and
• at least one processor circuit to be programmed based on the machine-readable instructions to:
• determine a state of the multi-access communication environment based on the collected observation data;
• and
• operate a Reinforcement Learning (RL) agent to determine one or more actions based on the determined state and an enforce safety action space (ESAS) procedure, the determined one or more actions including one or more traffic management strategies for one or more of a plurality of multi-access user equipment (UE), the one or more actions to cause one or more of the multi-access UEs to perform one or more operations according to the one or more traffic management strategies, and the ESAS procedure based on an acceptable range of actions or a set of constraints described by one or more linear or non-linear functions of the one or more actions.