The workshop Knowledge Representation and Representation Learning (KR4L) was held in conjunction with the 24th European Conference on Arti cial Intelligence (ECAI 2020). Its motivation is the currently perceived disconnect between the areas of Representation Learning (RL) and Knowledge Representation and Reasoning (KRR). Most of the research is currently concentrated on one area or the other, yet arguably representation learning is central to make use of knowledge representation and reasoning techniques in modern, scalable AI applications. This is particularly the case, but not restricted to, the area of Knowledge Graphs. We welcomed submissions of research contributions between the areas of RL and KRR. We want to thank all who contributed to organising this workshop (some, but not all, are listed below) as well as all who submitted papers. The senior committee consisted of: The organization committee and PC chairs have been: The publicity chair has been: