Reinforcement-Learning-Based Continuation Strategy for Autonomous On-Orbit Assembly

What is it about?

Machine learning methods have opened many new horizons for us. One of them is using a reinforcement learning agent to solve optimal control problems much more easily and efficiently. This was achieved by combining the agent with a continuation method used to define optimal control problems. The effectiveness of the proposed algorithm was shown in the context of autonomous on-orbit assembly.

Featured Image