A typology for characterizing human action in multisector dynamics models
J Yoon, P Romero‐Lankao, YCE Yang… - Earth's …, 2022 - Wiley Online Library
The role of individual and collective human action is increasingly recognized as a prominent
and arguably paramount determinant in shaping the behavior, trajectory, and vulnerability of …
and arguably paramount determinant in shaping the behavior, trajectory, and vulnerability of …
Hybridization of reinforcement learning and agent-based modeling to optimize construction planning and scheduling
Decision-making in construction planning and scheduling is complex because of budget
and resource constraints, uncertainty, and the dynamic nature of construction environments …
and resource constraints, uncertainty, and the dynamic nature of construction environments …
Assessing adaptive irrigation impacts on water scarcity in nonstationary environments—a multi‐agent reinforcement learning approach
One major challenge in water resource management is to balance the uncertain and
nonstationary water demands and supplies caused by the changing anthropogenic and …
nonstationary water demands and supplies caused by the changing anthropogenic and …
Designing with information feedbacks: Forecast informed reservoir sizing and operation
F Bertoni, M Giuliani, A Castelletti… - Water Resources …, 2021 - Wiley Online Library
The value of streamflow forecasts to inform water infrastructure operations has been
extensively studied. Yet, their value in informing infrastructure design is still unexplored. In …
extensively studied. Yet, their value in informing infrastructure design is still unexplored. In …
梯级水库深度强化学习长期随机优化调度研究
李文武, 周佳妮, 裴本林, 张一凡 - 水力发电学报, 2023 - slfdxb.cn
梯级水库调度相较于单库调度状态空间呈指数级增大, 为解决基于表格的强化学习方法在解决
梯级水库长期随机优化调度问题时面临的维数灾问题, 提出采用深度强化学习中的深度Q …
梯级水库长期随机优化调度问题时面临的维数灾问题, 提出采用深度强化学习中的深度Q …
How do the properties of training scenarios influence the robustness of reservoir operating policies to climate uncertainty?
Reservoir control policies provide a flexible option to adapt to the uncertain hydrologic
impacts of climate change. This challenge requires robust policies capable of navigating …
impacts of climate change. This challenge requires robust policies capable of navigating …
Valuing combinations of flexible planning, design, and operations in water supply infrastructure
Uncertainty arising from climate change poses a central challenge to the long‐term
performance of many engineered water systems. Water supply infrastructure projects can …
performance of many engineered water systems. Water supply infrastructure projects can …
[HTML][HTML] Aggregation–decomposition-based multi-agent reinforcement learning for multi-reservoir operations optimization
Stochastic dynamic programming (SDP) is a widely-used method for reservoir operations
optimization under uncertainty but suffers from the dual curses of dimensionality and …
optimization under uncertainty but suffers from the dual curses of dimensionality and …
Fill-and-Spill: Deep Reinforcement Learning Policy Gradient Methods for Reservoir Operation Decision and Control
SS Tabas, V Samadi - Journal of Water Resources Planning and …, 2024 - ascelibrary.org
Abstract Changes in demand, various hydrological inputs, and environmental stressors are
among the issues that reservoir managers and policymakers face on a regular basis. These …
among the issues that reservoir managers and policymakers face on a regular basis. These …
[PDF][PDF] Hybrid Fuzzy System Dynamics–Fuzzy Agent-Based Modeling of Construction Labor Productivity
NS Kedir - 2022 - era.library.ualberta.ca
Construction labour productivity (CLP) is a key performance indicator for determining the
success of construction undertakings, and notably affects the profitability of construction …
success of construction undertakings, and notably affects the profitability of construction …