Cutting and suturing soft tissues during surgery involves precise movements. Data driven estimation has shown good outcomes in predicting the properties of soft tissues, and deep reinforcement learning environments that use real-tie physical simulation can be very accurate with surgical tasks. Our goal is to apply data estimation to the da Vinci Surgical Robot to improve its performance on cutting and suturing tasks.