Examples#

Control#

Obstacle Avoid

Constrained stochastic optimal control.

Target Tracking Problem

Unconstrained stochastic optimal control.

CWH Problem

Satellite rendezvous and docking problem using Clohessy-Wiltshire-Hill dynamics.

Identification#

Linear System Identification

Compute an approximation of the linear dynamics of a system using data.

Stochastic Reachability#

Forward Reachability

Compute a forward reachable set classifier.

Stochastic Reachability

Stochastic reachability analysis. Compute the probability at a given point of remaining within a safe set and reaching the target set.

Maximal Stochastic Reachability

Compute a policy that maximizes the probability of remaining within a safe set and reaching a target set.

Kernel Methods#

Conditional Embeddings

Simple example showing the use of conditional distribution embeddings.

Conditional Embeddings (RFF)

Compute the conditional distribution embedding using random Fourier features (RFF).

Conditional Embeddings (Nystrom)

Compute the conditional distribution embedding using the Nystrom approximation.

Maximum Mean Discrepancy

Compute the maximum mean discrepancy for two distributions.

Derivative Approximation

Compute the derivatives of a function using a kernel approximation.

Experimental#

Target Tracking (Side Information)

Target tracking problem using side information to reduce the amount of sample information needed.

Generative Model

Construct a generative model via embeddings.

Contributing Examples#

Interested in contributing new examples to this page? See the Proposing Examples page for details.