If you have a beautiful CPU-based controller developed, for example, with CPU-based Trajectory Optimization tools and want to train and deploy a *Reinforcement Learning-based Model Predictive Control* policy without having to rewrite your whole controller on GPU, then this might be the right tool for you.
CoClusterBridge is a tool for bridging parallel simulations (typically GPU-based), with a cluster of CPU-based (receding-horizon) controllers while properly handling controllers synchronization and triggering. It also supports full CPU operation.
For an example application, please have a look at IBRIDO.
