Remote Action Generation: Remote Control with Minimal Communication

ArXi:2605.01833v1 Announce Type: cross We address the challenge of remote control where one or actors, lacking direct reward access, are steered by a controller over a communication-constrained channel. The controller learns an optimal policy from observed rewards and communicates action guidance to the actors, which becomes demanding for large or continuous action spaces. To achieve rate-efficient communication throughout this interactive learning and control process, we