145 citations · 485 across the 13 of their papers we have counts for
16 papers
Deep Reinforcement Learning for Weapons to Targets Assignment in a Hypersonic strike
Brian Gaudet, Kris Drozd, Roberto Furfaro
We use deep reinforcement learning (RL) to optimize a weapons to target assignment (WTA) policy for multi-vehicle hypersonic strike against multiple targets. The objective is to ma…
Line of Sight Curvature for Missile Guidance using Reinforcement Meta-Learning
Brian Gaudet, Roberto Furfaro
We use reinforcement meta learning to optimize a line of sight curvature policy that increases the effectiveness of a guidance system against maneuvering targets. The policy is imp…
Integrated Guidance and Control for Lunar Landing using a Stabilized Seeker
Brian Gaudet, Roberto Furfaro
We develop an integrated guidance and control system that in conjunction with a stabilized seeker and landing site detection software can achieve precise and safe planetary landing…
Terminal Adaptive Guidance for Autonomous Hypersonic Strike Weapons via Reinforcement Learning
Brian Gaudet, Roberto Furfaro
An adaptive guidance system suitable for the terminal phase trajectory of a hypersonic strike weapon is optimized using reinforcement meta learning. The guidance system maps observ…
Integrated and Adaptive Guidance and Control for Endoatmospheric Missiles via Reinforcement Learning
Brian Gaudet, Roberto Furfaro
We apply a reinforcement meta-learning framework to optimize an integrated and adaptive guidance and flight control system for an air-to-air missile. The system is implemented as a…
Adaptive Approach Phase Guidance for a Hypersonic Glider via Reinforcement Meta Learning
Brian Gaudet, Kris Drozd, Ryan Meltzer +1
We use Reinforcement Meta Learning to optimize an adaptive guidance system suitable for the approach phase of a gliding hypersonic vehicle. Adaptability is achieved by optimizing o…