Reinforcement Learning and Function Approximation

By Marina Irodova, R. Sloan. 2005

30 citations recorded by the source corpus.

How researchers see this paper

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

1. Eric B. Laber
2. Daniel J. Lizotte
3. Susan M. Shortreed
4. Michael R. Kosorok
5. Susan A. Murphy
6. Ying‐Qi Zhao
7. Chao Yu
8. Joelle Pineau

Citations in the corpus

• Informing sequential clinical decision-making through reinforcement learning: an empirical study (2010, methodology): “That is, we use linear function approximation to estimate the state-action value function (Lagoudakis and Parr 2003; Irodova and Sloan 2005; Ernst et al. 2005; Parr et al. 2008).”
• Feature Engineering for Predictive Modeling using Reinforcement Learning (2017, unknown): “The proof follows from (Irodova and Sloan 2005).”