Ant_racer is a virtual multi-agent pursuit-evasion platform that provides a game environment for studying multi-agent reinforcement learning. Built on OpenAI Gym and Mujoco, it allows users to simulate interactions between multiple autonomous agents in pursuit and evasion tasks. The platform supports implementation and testing of reinforcement learning algorithms such as DDPG in a physically realistic environment. It is useful for researchers and developers interested in AI multi-agent behaviors in dynamic scenarios.