The invention discloses a furniture layout method based on a part-by-part reinforcement learning technology. The furniture layout method comprises a furniture layout environment building step, a furniture layout reinforcement learning training step and a furniture layout generation step by using reinforcement learning. Firstly, evaluation and scoring are conducted on a specific furniture layout scheme through the manual technology, and feature extraction processing is conducted on the data; secondly, regression learning is conducted through a neural network algorithm, and the neural network obtained through training is used for simulating designers to score; secondly, learning specific state space and behavior action space by using a reinforcement learning technology according to environment feedback as guidance; and finally, in actual use, the trained reinforcement learning model is used for carrying out layout on specific furniture. The method is high in applicability in the implementation process, automation of furniture layout is achieved, the design cost is reduced, and the design efficiency is extremely high.