Multi-agent reinforcement learning (MARL) has achieved remarkable success in various
challenging problems. Meanwhile, more and more benchmarks have emerged and provided …

In this paper, we propose a three-layer distributed simulation network architecture, which
consists of a distributed virtual simulation network, a perception and control subnetwork, and …

Deep reinforcement learning algorithms have made great progress in the field of control with
the help of many high-efficiency simulation environments. However, due to the difference in …