Title: Lyceum: An efficient and scalable ecosystem for robot learning. Abstract: We introduce Lyceum, a high-performance computational ecosystem for robotlearning.   Lyceum is built on top of the Julia programming language and theMuJoCo physics simulator, combining the ease-of-use of a high-level program-ming  language  with  the  performance  of  native  C.  Lyceum  is  up  to  10-20Xfaster  compared  to  other  popular  abstractions  like  OpenAI’sGymand  Deep-Mind’sdm-control.  This substantially reduces training time for various re-inforcement learning algorithms;  and is also fast enough to support real-timemodel  predictive  control  with  physics  simulators.   Lyceum  has  a  straightfor-ward API and supports parallel computation across multiple cores or machines.The code base,  tutorials,  and demonstration videos can be found at: https://sites.google.com/view/lyceum-anon.