Arif Raza

Reliable Policy Transfer for Safety-Aware End-to-End Driving with Deep Reinforcement Learning

End-to-End (E2E) Reinforcement Learning (RL) for autonomous driving still struggles with safety and generalization under distribution shift, as perception-heavy encoders, sparse rewards, and ad hoc uncertainty handling yield brittle closed-loop behavior. This work introduces a unified Deep RL (DRL)