Continual Deep Reinforcement Learning with Task-Agnostic Policy Distillation

Muhammad Burhan Hafez, Kerim Erekmen

Central to the development of universal learning systems is the ability to solve multiple tasks without retraining from scratch when new data arrives. This is crucial because each…