Safety-critical learning requires policies that improve performance without leaving the safe operating regime. We study constrained policy learning where model parameters must …
Proposed a sampling-based weight-space projection framework for enforcing safety constraints during policy updates.
Guaranteeing constraint satisfaction is a challenging problem in imitation learning (IL), especially when the task involves operating at the handling limits of the system. While …
Designed a constraint-aware imitation learning framework incorporating an actor-critic structure for explicit safety modeling.