Optimal Control Theory
By E. Todorov. 2006
647 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Cognitive Neuroscience, Control and Systems Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Sergey Levine
- Jan Peters
- Pieter Abbeel
- Jens Kober
- J. Bagnell
- Chelsea Finn
- Gerhard Neumann
- Vladlen Koltun
In Cognitive Neuroscience
- Jan Peters
- J. Bagnell
- Jens Kober
- Andy Clark
- Gerhard Neumann
- Marc Peter Deisenroth
- Sergey Levine
- Herbert Jaeger
In Control and Systems Engineering
- Jens Kober
- Jan Peters
- J. Bagnell
- Sergey Levine
- Pieter Abbeel
- Andy Clark
- Gerhard Neumann
- Marc Peter Deisenroth
Citations in the corpus
- Reinforcement learning in robotics: A survey (2013, background): “Local search in policy space can directly lead to good results as exhibited by early hill-climbing approaches (Kirk, 1970), as well as more recent successes (see Table 2).”
- Blood glucose regulation with stochastic optimal control for insulin-dependent diabetic patients (2008, neutral): “…GX ðKMþx1Þ VG þm2p4; m2ðTÞ ¼ 0 ð38Þ dm3 dt ¼ m1 dNHGB dx3 VG m2p3þm3n; m1ðTÞ ¼ 0m3ðTÞ ¼ 0 ð39Þ dm4 dt ¼ 0; m4ðTÞ ¼ 1 ð40Þ We can use the method of steepest ascent of Hamiltonian to reach a numerical solution to this optimal control problem using an iterative procedure (Diwekar, 2003; Kirk, 1970).”
- Whatever next? Predictive brains, situated agents, and the future of cognitive science. (2013, background): “Despite this disanalogy, the two tasks are instances of the same general mathematical problem (Todorov 2006).”