Operations Research (OR)

By K. Andersen. 2007

How researchers see this paper

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

Learning to Run Heuristics in Tree Search (2017, background): “, 1998], wildlife conservation [Dilkina and Gomes, 2010], sports scheduling [Nemhauser and Trick, 1998], dose distribution [Lee et al.”
Rule abstraction and transfer in reinforcement learning by decision tree (2012, methodology): “Therefore, to achieve better result, POMDP framework [11] should be included into purposed method.”
Structure Learning for Safe Policy Improvement (2019, background): “Unfortunately, finding a policy π that maximizes the expected value V (π,M) under the constraints above is intractable if one does not make any assumptions about P(· | D) [Delage and Mannor, 2010].”
A general framework for reducing variance in agent evaluation (2010, methodology): “In cases with small T , techniques like jackknifing and splitting can be used to reduce the bias (see [Avramidis and Wilson, 1993] and [Nelson and Richards, 1990]).”
From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization (2010, unknown): “A(z̃)x ≥ b(z̃) ∀z̃ ∈ W, (1) where”
Numerical optimization (2004, unknown): “Information about modeling techniques for various application areas can be found in Dantzig [86], Ahuja, Magnanti, and Orlin [1], Fourer, Gay, and Kernighan [112], Winston [308], and Rardin [262].”
Sample Efficient Policy Search for Optimal Stopping Domains (2017, methodology): “For simulation, we use a model described in [Jiang and Powell, 2015].”