Policy-based Control ==================== .. math:: \newcommand{\vect}[1]{\boldsymbol{#1}} \newcommand{\dvect}[1]{\dot{\boldsymbol{#1}}} \newcommand{\ddvect}[1]{\ddot{\boldsymbol{#1}}} \newcommand{\mat}[1]{\boldsymbol{#1}} Policy based controllers do not aim to follow a singular trajectory. Instead, they define a funtion(the policy) :math:`\pi` over the entire state space and return a control signal according to this policy: .. math:: \vect{u} = \pi(\vect{x}) the policy can be either analytically defined by reasoning about the system (e.g. about the system's energy) or it can be learned with reinforcement learning. .. toctree:: :maxdepth: 1 control.policy.lqr.rst control.policy.pfl.rst control.policy.sac.rst control.policy.dqn.rst .. control.energyXin.rst