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  • Search: subject:"Policy Optimization"
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Year of publication
Subject
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Theorie 15 Theory 15 Learning process 13 Lernprozess 13 Learning 9 Lernen 9 Mathematical programming 7 Mathematische Optimierung 7 Policy optimization 6 Proximal policy optimization 6 Algorithm 5 Algorithmus 5 Artificial intelligence 5 Künstliche Intelligenz 5 Deep reinforcement learning 4 reinforcement learning 4 Decision under uncertainty 3 Dynamic programming 3 Dynamische Optimierung 3 Entscheidung unter Unsicherheit 3 Policy Optimization 3 Portfolio selection 3 Portfolio-Management 3 Stochastic process 3 Stochastischer Prozess 3 policy optimization 3 proximal policy optimization 3 Algorithmic trading 2 Conditional Value-at-Risk (CVaR) 2 Contextual optimization 2 Decision 2 Electronic trading 2 Elektronisches Handelssystem 2 Entscheidung 2 Forecasting model 2 Intraday power markets 2 Inventory model 2 Lagerhaltungsmodell 2 Lagermanagement 2 Lieferkette 2
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Online availability
All
Free 14 Undetermined 14 CC license 7
Type of publication
All
Article 23 Book / Working Paper 6
Type of publication (narrower categories)
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Article in journal 19 Aufsatz in Zeitschrift 19 Arbeitspapier 2 Article 2 Graue Literatur 2 Non-commercial literature 2 Working Paper 2 Thesis 1 research-article 1
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Language
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English 26 Undetermined 3
Author
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Chang, Kuo-Chu 2 Chenreddy, Abhilash 2 Delage, Erick 2 Forel, Alexandre 2 Frejinger, Emma 2 Kuppelwieser, Thomas 2 Sadana, Utsav 2 Vidal, Thibaut 2 Wozabal, David 2 Yu, Jiayang 2 Abdumajitov, Yelbek 1 Alam, Sameer 1 Andy, Lam Jun Guang 1 Azamov, Azamkhon 1 Baek, Jackie 1 Boutilier, Justin J. 1 Chakrabortty, Ripon Kumar 1 Chan, Ying Tung 1 Chen, Yun 1 Dasaklis, Thomas K. 1 Escobal-Vera, Jesus 1 Eshaghi, Mehdi 1 Farias, Vivek F. 1 Garcia, Christopher 1 Garine, Ramakrishna 1 Geevers, Kevin 1 Giannopoulos, Panagiotis G. 1 Guan, Ziwei 1 Göppert, Amon 1 Haikin, Mark 1 Hezewijk, Lotte van 1 Huke, Philipp 1 Jónas Oddur Jónasson 1 Kadyrov, Shirali 1 Kaven, Lea 1 Laliberte, Jeremy 1 Lan, Guanghui 1 Lapinskas, Arunas 1 Li, Tianjiao 1 Li, Yaoming 1
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Institution
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C.E.P.R. Discussion Papers 1
Published in...
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International Journal of Financial Studies : open access journal 2 Logistics 2 CEPR Discussion Papers 1 Central European journal of operations research 1 Climate Change and Energy Transition 1 Computers & operations research : an international journal 1 European journal of operational research : EJOR 1 Finance research letters 1 INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences 1 Industrial Robot: the international journal of robotics research and application 1 Journal of Intelligent Manufacturing 1 Journal of air transport management : a new international journal of research, policy and practice 1 Journal of business analytics 1 Journal of forecasting 1 Journal of open innovation : technology, market, and complexity 1 Journal of policy modeling : JPMOD ; a social science forum of world issues 1 Les cahiers du GERAD 1 Manufacturing & service operations management : M & SOM 1 OR Spectrum 1 OR spectrum : quantitative approaches in management 1 Operations research letters : a journal of INFORMS devoted to the rapid publication of concise contributions in operations research 1 Operations research perspectives 1 Springer eBook Collection 1 Supply chain analytics 1 Transportation 1 Working papers 1
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Source
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ECONIS (ZBW) 23 EconStor 2 RePEc 2 BASE 1 Other ZBW resources 1
Showing 1 - 10 of 29
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A hierarchical signal-to-policy learning framework for risk-aware portfolio optimization
Yu, Jiayang; Chang, Kuo-Chu - In: International Journal of Financial Studies : open … 14 (2026) 3, pp. 1-41
Proximal Policy Optimization (PPO) agent incorporates both predictive forecasts and explanatory signals into its state …
Persistent link: https://www.econbiz.de/10015644313
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Omnichannel supply chains amid demand shocks : a centralized hierarchical reinforcement learning framework
Giannopoulos, Panagiotis G.; Dasaklis, Thomas K. - In: Logistics 10 (2026) 4, pp. 1-41
fulfillment and lateral inventory rebalancing are controlled daily. Policies are learned using Proximal Policy Optimization (PPO …
Persistent link: https://www.econbiz.de/10015647668
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Optimizing inventory in convenience stores to maximize ROI using random forest and genetic algorithms
Zavaleta-Zarate, Kelly; Escobal-Vera, Jesus; … - In: Logistics 10 (2026) 3, pp. 1-27
Background: Convenience stores face volatile demand and a direct trade-off between stock-outs and overstocking, both of which affect service levels and profitability. This study aims to optimize inventory management through a reproducible forecasting-and-optimization workflow, assessing its...
Persistent link: https://www.econbiz.de/10015647577
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Can artificial intelligence trade the stock market?
Maskiewicz, Jędrzej; Sakowski, Paweł - 2025
Persistent link: https://www.econbiz.de/10015455199
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Designing educational strategies for experiential learning : an AHP-fuzzy logic case study at carleton university
Mahmoodi, Armin; Eshaghi, Mehdi; Laliberte, Jeremy - In: Journal of open innovation : technology, market, and … 11 (2025) 3, pp. 1-22
This study proposes a hybrid decision-making framework integrating SWOT analysis, Analytic Hierarchy Process (AHP), and Fuzzy Number Theory (FNT) to structure and evaluate stakeholder perspectives on experiential learning. Applied at Carleton University, the model prioritizes experiential...
Persistent link: https://www.econbiz.de/10015468122
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A survey of contextual optimization methods for decision-making under uncertainty
Sadana, Utsav; Chenreddy, Abhilash; Delage, Erick; … - In: European journal of operational research : EJOR 320 (2025) 2, pp. 271-289
Persistent link: https://www.econbiz.de/10015085172
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Deep reinforcement learning for dynamic vehicle routing with demand and traffic uncertainty
Kadyrov, Shirali; Azamov, Azamkhon; Abdumajitov, Yelbek; … - In: Operations research perspectives 15 (2025), pp. 1-12
and traffic. Our approach integrates graph neural networks to encode spatial problem structure and proximal policy … optimization to train robust policies under both demand and traffic uncertainty. Experiments on synthetic grid-based routing …
Persistent link: https://www.econbiz.de/10015606593
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A deep learning and policy optimization approach for supply chain order classification
Garine, Ramakrishna; Chakrabortty, Ripon Kumar - In: Supply chain analytics 12 (2025), pp. 1-22
deploy a Proximal Policy Optimization (PPO) agent that incorporates deep learning outputs as part of its observation space …
Persistent link: https://www.econbiz.de/10015607781
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Smart tangency portfolio : deep reinforcement learning for dynamic rebalancing and risk-return trade-off
Yu, Jiayang; Chang, Kuo-Chu - In: International Journal of Financial Studies : open … 13 (2025) 4, pp. 1-35
-learning environment for portfolio reallocation, we train actor-critic agents (Proximal Policy Optimization (PPO) and Advantage Actor …
Persistent link: https://www.econbiz.de/10015590750
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Multi-echelon inventory optimization using deep reinforcement learning
Geevers, Kevin; Hezewijk, Lotte van; Mes, Martijn - In: Central European journal of operations research 32 (2024) 3, pp. 653-683
Persistent link: https://www.econbiz.de/10014582814
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