MindSpore Reinforcement is an open source reinforcement learning framework that supports the use of reinforcement learning algorithms todistributed training. MindSpore Reinforcement provides for writing reinforcement learning algorithmsClean and tidy API abstraction, which decouples algorithms from deployment and execution considerations, including accelerator usage, parallelism, and distribution of computation across worker clusters. MindSpore Reinforcement converts reinforcement learning algorithms into a series of compiledComputation graphand then run efficiently on the CPU, GPU or Ascend AI processor by the MindSpore framework.

Architecture: