Modular Networks Prevent Catastrophic Interference in Model-Based Multi-Task Reinforcement Learning

Robin Schiewer, Laurenz Wiskott

In a multi-task reinforcement learning setting, the learner commonly benefits from training on multiple related tasks by exploiting similarities among them. At the same time, the t…