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RACHEL HOUTMAN
RACHEL HOUTMAN
Biological Scientist, USDA Forest Service, RMRS Fire Lab
在 usda.gov 的电子邮件经过验证
标题
引用次数
引用次数
年份
Allowing a wildfire to burn: estimating the effect on future fire suppression costs
RM Houtman, CA Montgomery, AR Gagnon, DE Calkin, TG Dietterich, ...
International journal of wildland fire 22 (7), 871-882, 2013
1082013
Trade‐offs and efficiencies in optimal budget‐constrained multispecies corridor networks
B Dilkina, R Houtman, CP Gomes, CA Montgomery, KS McKelvey, ...
Conservation Biology 31 (1), 192-202, 2017
852017
Tradeoffs between US national forest harvest targets and fuel management to reduce wildfire transmission to the wildland urban interface
AA Ager, RM Houtman, MA Day, C Ringo, P Palaiologou
Forest ecology and management 434, 99-109, 2019
412019
Planning for future fire: Scenario analysis of an accelerated fuel reduction plan for the western United States
AA Ager, CR Evers, MA Day, FJ Alcasena, R Houtman
Landscape and Urban Planning 215, 104212, 2021
372021
Modelling the effect of accelerated forest management on long-term wildfire activity
AA Ager, AMG Barros, R Houtman, R Seli, MA Day
Ecological Modelling 421, 108962, 2020
282020
Facilitating testing and debugging of Markov Decision Processes with interactive visualization
S McGregor, H Buckingham, TG Dietterich, R Houtman, C Montgomery, ...
2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC …, 2015
222015
Development and application of the fireshed registry
AA Ager, MA Day, C Ringo, CR Evers, FJ Alcasena, RM Houtman, ...
United States Department of Agriculture, Forest Service, Rocky Mountain …, 2021
172021
Contrasting the role of human-and lightning-caused wildfires on future fire regimes on a Central Oregon landscape
AMG Barros, MA Day, HK Preisler, JT Abatzoglou, MA Krawchuk, ...
Environmental Research Letters 16 (6), 064081, 2021
162021
Interactive visualization for testing markov decision processes: MDPVIS
S McGregor, H Buckingham, TG Dietterich, R Houtman, C Montgomery, ...
Journal of visual languages & computing 39, 93-106, 2017
142017
Cross-boundary wildfire and community exposure: a framework and application in the western US
AA Ager, MA Day, P Palaiologou, RM Houtman, C Ringo, CR Evers
United States Department of Agriculture, Forest Service, Rocky Mountain …, 2019
132019
Fast optimization of wildfire suppression policies with SMAC
S McGregor, R Houtman, C Montgomery, R Metoyer, TG Dietterich
arXiv preprint arXiv:1703.09391, 2017
72017
Fast simulation for computational sustainability sequential decision making problems
S McGregor, R Houtman, H Buckingham, C Montgomery, R Metoyer, ...
Proceedings of the 4th International Conference on Computational …, 2016
72016
Integrating large wildfire simulation and forest growth modeling for restoration planning
AA Ager, RM Houtman, R Seli, MA Day, J Bailey
2017 Forest Vegetation Simulator (FVS) e-Conference, 129, 2017
42017
An assessment of forest and woodland restoration priorities to address wildfire risk in New Mexico
MA Day, RM Houtman, P Belavenutti, C Ringo, AA Ager, S Bassett
US Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2021
32021
Fire Lab tree list: A tree-level model of the conterminous United States landscape circa 2014
KL Riley, IC Grenfell, MA Finney, JM Wiener, RM Houtman
32019
Factoring exogenous state for model-free Monte Carlo
S McGregor, R Houtman, C Montgomery, R Metoyer, TG Dietterich
arXiv preprint arXiv:1703.09390, 2017
32017
Letting wildfires burn: modeling the change in future suppression costs as the result of a suppress versus a let-burn management choice
RM Houtman
32011
Optimizing the implementation of a forest fuel break network
AA Ager, MA Day, BA Aparício, R Houtman, A Stinchfield
Plos one 18 (12), e0295392, 2023
12023
Forest management activity costs in the continental United States (2012-2018)
DR Loeffler, S Anderes, RM Houtman, AA Ager, MA Day
12022
Visualizing High-Dimensional MDPs with Model-Free Monte Carlo
S McGregor, R Houtman, C Montgomery, R Metoyer, TG Dietterich
The Multi-disciplinary Conference on Reinforcement Learning and Decision …, 2017
12017
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