We introduce Diffusion Network Adaptation (DNA), a framework for finding approximate solutions to continuous time, continuous state, continuous action optimal control problems. We present two reinforcement learning algorithms developed under this framework, one model based and the other model free. We test the algorithms in computer simulations and in a complex pneumatic humanoid robot that had...
