HAVEN: AI-Driven Navigation for Adversarial Environments

This research explores an innovative approach to navigation in adversarial environments using deep reinforcement learning and transformer networks. The use of 'cover utilization' suggests a strategic focus on hiding and maneuverability, adding a layer of complexity to the navigation task.

• •Focuses on navigation in adversarial environments, implying applications in robotics and security.
• •Employs deep reinforcement learning and transformer networks, indicating a cutting-edge approach.
• •Includes 'cover utilization,' suggesting a strategic and potentially stealthy navigation strategy.