Zero-sum Linear Quadratic (LQ) games are fundamental in optimal control ...
We consider the reinforcement learning (RL) problem with general utiliti...
Due to the high communication overhead when training machine learning mo...
Recently, the impressive empirical success of policy gradient (PG) metho...
We propose and study a new class of gradient communication mechanisms fo...
First proposed by Seide (2014) as a heuristic, error feedback (EF) is a ...
Error feedback (EF), also known as error compensation, is an immensely
p...