Stochastic Optimal Control

By M. K. rn. 1988

Subfields: Reinforcement Learning, Mathematical Optimization

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Reinforcement Learning

1. Marc Toussaint
2. Sergey Levine
3. Pieter Abbeel
4. Gerhard Neumann
5. Jan Peters
6. E. Todorov
7. Brian D. Ziebart
8. Chelsea Finn

In Mathematical Optimization

1. Marc Toussaint

Citations in the corpus

• Robot trajectory optimization using approximate inference (2009, methodology): “This is in the tradition of the classical SOC literature (see, e.g, Bryson & Ho, 1969; Stengel, 1986), where the LQG case is typically introduced as a (variational) model to control perturbations from an optimal trajectory.”