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Micah Bryant

2 articles
United States General Atomics Aeronautical

Biography

Micah Bryant is a Machine Learning Engineer for General Atomics Aeronautical Systems (GA-ASI). His work focuses on architecting, implementing, and validating Reinforcement Learning agents for dynamic air-to-air combat engagements with an emphasis on stability. During his time at GA-ASI Micah has architected and flown, on operationally relevant platforms, RL agents tailored towards air-to-air combat. His work and background play an instrumental part in GA's maturation of the autonomy eco system for collaborative combat aircraft (CCAs). He holds a B.S. in Bioengineering from UCLA and his M.S. in Mechanical Engineering from UCSD.

Publications by Year
Showing 2 of 2
Uncertainty Aware Distributional Ensemble Reinforcement Learning for Flight Control
Joseph Gleason General Atomics Aeronautical
Joseph Gleason General Atomics Aeronautical
Anastacia MacAllister General Atomics
Anastacia MacAllister General Atomics
+2 more
Paper Paper
ECIT 12: Advanced AI Techniques for Risk Aware Flight Control & Combat Optimization
I/ITSEC 2024
Uncertainty Uses in Reinforcement Learning Both During and After Training
Rahul Krupani General Atomics Aeronautical
Micah Bryant General Atomics Aeronautical
Joseph Gleason General Atomics Aeronautical
Anastacia MacAllister General Atomics
Emerging Concepts and Innovative Technologies Paper Paper
ECIT 5: Simulation Driven Reinforcement Learning: Validation, Integration, and Uncertainty Challenges
I/ITSEC 2025