In this project, the trajectory control of a muscle-actuated robotic manipulator is designed using NeuraBASE. This approach does not require a mathematical model for the control system. Its online training feature allows it to continuously adapt to a changing environment. The successive interval halving method is used to define the trajectory of the muscle arm and the NeuraBASE controller learns to follow the desired trajectory using reinforcement learning.