The purpose of this paper is to illustrate some applications of the functional equation technique of the theory of dynamic programming to a general class of problems arising in the study of networks, particularly those arising in transportation theory. (Author)Bellman, R.Rand Corp Santa Monica Calif
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deficiencies, an MDP (Markov decision process) model in the finite time domain12 is established and combined with dynamic programming theory to analyze the optimal scheduling of limited production equipment resources among different types of orders to maximize the production benefits of manufacturing ...
engineering. Join us in Chongqing to explore the latest advancements and breakthroughs in these dynamic fields. PUBLICATION All papers will be reviewed by two or three expert reviewers from the conference committees. After a careful reviewing process, all accepted papers of EITCE 2025 will be ...
CP is the premier international event for presenting research in all aspects of computing with constraints, including, but not restricted to: theory, algorithms, environments, languages, models, systems, and applications. CP 2025 is the 31st conference in this series and will be held at the Unive...
consistent with the theory, reporters are more likely to transmit information truthfully when there is more uncertainty on the state. Third, evaluators have difficulty learning reporters’ strategies and, contrary to the theory, assessments react more strongly to message accuracy when reporters are more...
(Long et al.,2016; Yang,2017). As explained in cognitive load theory and cognitive theory of multimedia learning, the short video can reduce extraneous cognitive load and thus aid in schema construction (Chandler and Sweller,1991; DiMaggio,1997). Guo et al. (2014) harvested student data ...
(β → 0). Here, game payoffs only weakly influence how individuals adopt new strategies. While a vanishingly small selection strength is a mathematical idealization, this limit plays an important role in evolutionary game theory43,44,45. It often permits researchers to derive explicit ...
Optimal Feature Discovery: Better, Leaner Machine Learning Models Through Information Theory Uber 2021 ML Feature Serving Infrastructure at Lyft Lyft 2021 Near real-time features for near real-time personalization LinkedIn 2022 Building the Model Behind DoorDash’s Expansive Merchant Selection DoorDash 202...