Reinforcement Learning for Freeform Robot Design: Policy Gradient Approach
The authors introduce a policy gradient method to design freeform robots with arbitrary external and internal structures, enabling optimization of 3D morphology. Their approach allows for the creation of robots with any shape and internal organization, offering a novel method for robot design.
