Weighted Bellman Equations and their Applications in Approximate Dynamic Programming ∗

By Huizhen Yu, Dimitri P. Bertsekas. 2012

Citations in the corpus

• On Convergence of Emphatic Temporal-Difference Learning (2015, methodology): “The relation between the solution v = Φθ∗ of this equation and the desired value function vπ, in particular, the approximation error, can be analyzed then, using the oblique projection viewpoint (Scherrer, 2010) (for details, see also (Yu and Bertsekas, 2012)).”
• Least Squares Temporal Difference Methods: An Analysis under General Conditions (2012, neutral): “11”