Results 51 to 60 of about 23,924 (227)
Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks
International Journal of Satellite Communications and Networking, EarlyView.ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth +4 more
wiley +1 more source
Uniqueness in Infinitely Repeated Decision Problems [PDF]
Dynamic decision-making without commitment is usually modelled as a game between the current and future selves of the decision maker. It has been observed that if the time-horizon is infinite, then such games may have multiple subgame-perfect equilibrium
Vieille, Nicolas, Weibull, Jörgen W.
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Systems Research and Behavioral Science, EarlyView.ABSTRACT Energy communities (ECs) members have a high degree of heterogeneity. Agent‐based modelling (ABM) allows for the modelling of each entity as an agent with distinct characteristics and decision rules. This is particularly useful when the heterogeneity of agents affects outcomes.
Adela Bâra, Simona‐Vasilica Oprea
wiley +1 more source
Resilience in a noisy urban system
Regional Science Policy &Practice, EarlyView., 2023 Abstract The ability of cities to recuperate from disturbances and return to their evolutionary pathways depends, first and foremost, on the type of damage that the shock created. But in addition, it depends on how information is transmitted in the urban system and on how noise filters distort the information that reaches economic agents.
Dani Broitman, Daniel Czamanski
wiley +1 more source
Mathematical Control & Related Fields, 2019 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Measuring time preferences [PDF]
, 2019 We review research that measures time preferences—i.e., preferences over intertemporal tradeoffs. We distinguish between studies using financial flows, which we call “money earlier or later” (MEL) decisions and studies that use time-dated consumption ...
Cohen, Jonathan D. +3 more
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, 2018 In the spirit of [Surya07'], we develop an average problem approach to prove the optimality of threshold type strategies for optimal stopping of L\'evy models with a continuous additive functional (CAF) discounting.
Long, Mingsi, Zhang, Hongzhong
core +1 more source
IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.Greenhouse cultivation offers the advantage of controlled growth conditions, leading to enhanced crop productivity and quality. However, maintaining these optimal conditions requires substantial energy, resulting in increased greenhouse gas emissions and operational costs. Integrating local renewable energy sources, particularly photovoltaic (PV) solar
Akihiro Funaki, Jorge Solis
wiley +1 more source
TNCOA: Efficient Exploration via Observation‐Action Constraint on Trajectory‐Based Intrinsic Reward
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT Efficient exploration is critical in handling sparse rewards and partial observability in deep reinforcement learning. However, most existing intrinsic reward methods based on novelty rely on single‐step observations or Euclidean distances.
Jingxiang Ma, Hongbin Ma, Youzhi Zhang
wiley +1 more source
Journal of Agricultural Economics, EarlyView.ABSTRACT High internal coordination costs may put cooperatives at a disadvantage in the production and marketing of agri‐food products with hedonic quality attributes. The efficiency of cooperatives and non‐cooperatives is therefore compared with respect to their ability to place wines on the market at prices that reflect their measurable quality ...
Rebecca Hansen, Sebastian Hess
wiley +1 more source