To optimize the layout of campus ecological landscape planning and improve the sustainability of ecological landscape, a deep recursive reinforcement learning method is proposed for optimizing the layout of ecological landscape planning. Firstly, geographic environment data, usage data and user feedback data are collected and processed to provide rich and accurate data support for the layout planning; secondly, a campus area planning layout model is established based on deep recursive reinforcement learning to improve the reasonableness and satisfaction of the layout plan; thirdly, the campus ecological landscape functional zones are divided based on the campus educational function; Finally, according to the functional zoning, suitable plants were allocated to create a beautiful campus cultural landscape. The test results show that this method has high ecological sustainability indexes and can better protect and improve the quality of campus ecological environment.