MORPH: Design Co-optimization with Reinforcement Learning via a Differentiable Hardware Model Proxy

Zhanpeng He, Matei Ciocarlie

We introduce MORPH, a method for co-optimization of hardware design parameters and control policies in simulation using reinforcement learning. Like most co-optimization methods, M…