Biases and Variance in Value Function Estimates

By Shie Mannor, Duncan Simester, Peng Sun, John N. Tsitsiklis. 2004

9 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. Sergey Levine
2. Eric B. Laber
3. Daniel J. Lizotte
4. Pieter Abbeel
5. Jan Peters
6. Gerhard Neumann
7. Herke Van Hoof
8. Joelle Pineau

Citations in the corpus

• Informing sequential clinical decision-making through reinforcement learning: an empirical study (2010, background): “Another line of research in RL, related to confidence intervals, is the estimation of variance, for example estimating the variance of the value function of a particular policy (Mannor et al. 2007; Tetreault et al. 2007).”
• Relative Entropy Policy Search (2010, background): “This problem is known as optimization bias (Mannor et al. 2007).”
• Non-parametric Policy Search with Limited Information Loss (2017, background): “This problem is known as optimization bias (Mannor et al., 2007).”