Receding Horizon Differential Dynamic Programming
Yuval Tassa, Tom Erez & Bill Smart ­ poster M5

Using a library of local solutions, we construct a global controller for high-dimensional reinforcement learning problems. We use our method to teach a simulated robot of up to 34 state and 14 action dimensions to swim to a target. Come visit poster M5 to interact with an online simulation.