An Equivalence Between Adaptive Dynamic Programming With a Critic and Backpropagation Through Time

By Michael Fairbank, Eduardo Alonso, Danil V. Prokhorov. 2013

40 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Biomedical Engineering, Computational Theory and Mathematics, Reinforcement Learning, Optimization & Training

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

1. Muhammad Ghifary
2. David Balduzzi
3. Gabriella Csurka
4. Diane Joyce Cook
5. Garrett Wilson
6. Barbara Caputo
7. Yongxin Yang
8. Weihong Deng

In Biomedical Engineering

1. David Balduzzi
2. Muhammad Ghifary

In Computational Theory and Mathematics

1. David Balduzzi
2. Muhammad Ghifary
3. Bernhard Schölkopf
4. Manuel Gomez-Rodriguez

In Reinforcement Learning

1. David Balduzzi
2. Muhammad Ghifary

In Optimization & Training

1. Muhammad Ghifary
2. David Balduzzi

Citations in the corpus

• Compatible Value Gradients for Reinforcement Learning of Continuous Deep Policies (2015, background): “An alternate approach, based on the idea of backpropagating the gradient of the value function, is developed in (Jordan and Jacobs, 1990; Prokhorov and Wunsch, 1997; Wang and Si, 2001; Hafner and Riedmiller, 2011; Fairbank and Alonso, 2012; Fairbank et al., 2013).”