Introducing ⚔️ AI vs. AI ⚔️ a deep reinforcement learning multi-agents competition system

The article introduces "AI vs. AI," a deep reinforcement learning competition framework designed for multi-agent systems. It features an architecture that supports various RL algorithms and allows for customizable environments and agent interactions. This system enables researchers to benchmark and evaluate the performance of AI agents in competitive scenarios, providing valuable insights for developing more robust and adaptive AI systems.