Sandia Labs trains drones for strategic evasion using virtual rewards
TL;DR. Researchers at Sandia National Laboratories used reinforcement learning to teach autonomous drones complex pursuit and evasion tactics in a game of tag. - This work helps advance AI algorithms for autonomous systems operating in rapidly changing environments. - The project aims to improve drone capabilities for defense applications and critical facility protection. - The research falls under AutonomyNM, a broader effort to expand autonomy's possibilities.
- Sandia National Laboratories used reinforcement learning to train autonomous drones.
- Drones learned strategic pursuit and evasion in a high-speed game of tag.
- The research advances algorithms for autonomous systems needing to coordinate in dynamic environments.
- Potential applications include defending critical facilities and national security operations.
- The project is part of AutonomyNM, focusing on pushing boundaries in AI and autonomy.