Majed Obaid

Forward-Invariant Policy Classes for Safe Reinforcement Learning in Multicopter Control

This paper proposes a reinforcement learning (RL) framework for safe gain scheduling based on forwardinvariance-induced action-space design. Under stated nominalmodel and inversion-domain assumptions, rather than enforcing safety through runtime shielding or penalty-based constraints, safety is embedded directly into t...