DRL Simulator

The DRL Simulator is a software platform used to develop and train autonomous drones and robots in a virtual environment. It mimics real-world physics and scenarios, allowing researchers and developers to teach these systems how to perform tasks like navigation, obstacle avoidance, and control strategies safely and efficiently. By using realistic simulations, developers can experiment and optimize algorithms without the risks or costs associated with physical testing. The DRL Simulator supports reinforcement learning, where the system learns through trial and error, improving its performance over time in a controlled, virtual space before real-world deployment.