Maneuver Decision

Maneuver decision-making focuses on enabling autonomous systems, from vehicles to aerial drones, to select and execute appropriate actions in dynamic environments. Current research emphasizes developing robust algorithms, including reinforcement learning (e.g., Proximal Policy Optimization, Deep Q-Networks), and integrating predictive models to anticipate the behavior of other agents and optimize for safety and efficiency. This field is crucial for advancing autonomous systems, impacting safety, efficiency, and the development of reliable control systems across various applications.