  Mission schedule of satellites is an important part of space operation
nowadays, since the number and types of satellites in orbit are increasing
tremendously and their corresponding tasks are also becoming more and more
complicated. In this paper, a mission schedule model combined with Proximal
Policy Optimization Algorithm(PPO) is proposed. Different from the traditional
heuristic planning method, this paper incorporate reinforcement learning
algorithms into it and find a new way to describe the problem. Several
constraints including data download are considered in this paper.
