| Definition | A Guided Missile task project that uses deep RL to guide a 2D missile to hit a target through real-time decision-making. |
| No of environments | 1 |
The DRL Guided Missile project addresses the complex challenge of guiding a 2D free-falling missile to hit a target using deep reinforcement learning (DRL). The primary task is to make real-time decisions on applying horizontal forces along the missile’s trajectory to ensure precise targeting. Leveraging Deep Deterministic Policy Gradient (DDPG), a powerful DRL algorithm, along with deep neural networks, this project showcases the potential of DRL in solving dynamic control problems that require continuous action adjustments. The system learns to optimize its performance through experience, gradually improving its accuracy in targeting. The project highlights the applicability of DRL to real-time control tasks, pushing the boundaries of autonomous decision-making in complex environments.