MEMORY-BASED LEARNING (MBL) CONTROLLERS
MEMORY-BASED LEARNING (MBL) CONTROLLERS
Systems, methods, software, and devices are disclosed herein related to trajectory computation by way of a memory-based learning (MBL) controller. An MBL controller in various embodiments stores a set of trajectories in memory. The trajectories connect various initial states of a dynamical system with a target state. In addition to the memory, the controller further includes a processor that collects a current state of the dynamical system and determines, using memory-based learning (MBL) on training instances derived from the set of trajectories, a control policy that defines a trajectory connecting the current state of the dynamical system with the target state. The processor controls the dynamical system according to the control policy.