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  • Search: subject:"Q-learning algorithm"
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Year of publication
Subject
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Q-learning algorithm 6 Algorithm 5 Algorithmus 5 Theorie 4 Theory 4 Reinforcement Learning 3 FTSE MIB basket 2 Financial market 2 Financial trading system 2 Finanzmarkt 2 Mathematical programming 2 Mathematische Optimierung 2 Q-Learning algorithm 2 Simulation 2 daily stock price time series 2 Agent-based modeling 1 Agentenbasierte Modellierung 1 Artificial intelligence 1 Auction theory 1 Auktionstheorie 1 Automated container terminal 1 Brasilien 1 Brazil 1 Brazilian power system 1 Börsenkurs 1 Carbon cap-and-trade 1 Clustering strategy 1 Combinatorial optimization 1 Container pre-marshalling problem 1 Container terminal 1 Container transport 1 Containerterminal 1 Containerverkehr 1 Electric power industry 1 Electronic trading 1 Elektrizitätswirtschaft 1 Elektronisches Handelssystem 1 Emissions trading 1 Emissionshandel 1 Energy Reallocation Mechanism (MRE) 1
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Online availability
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Free 4 Undetermined 4
Type of publication
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Article 5 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 5 Aufsatz in Zeitschrift 5 Arbeitspapier 1 Graue Literatur 1 Non-commercial literature 1 Working Paper 1
Language
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English 6 Undetermined 2
Author
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Bertoluzzo, Francesco 3 Corazza, Marco 3 Calabria, Felipe A. 1 Cao, Zhiguang 1 Che, Ada 1 Dhochak, Monika 1 Gao, Jingkun 1 Hu, Rong 1 Huang, Min 1 Kumar, Satish 1 Li, Zuocheng 1 Lin, Yuan 1 Qian, Bin 1 Rao, Amar 1 Rocha, Ana Paula 1 Saraiva, João Tomé 1 Wang, Ling 1 Wang, Xingwei 1 Wang, Ziliang 1 Wu, Yaoxin 1 Yang, Yuan-yuan 1 Zhang, Jie 1 Zhang, Yuxin 1 Zhou, Chenhao 1
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Institution
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Dipartimento di Economia, Università Ca' Foscari Venezia 2
Published in...
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Working Papers / Dipartimento di Economia, Università Ca' Foscari Venezia 2 Computers & operations research : an international journal 1 International journal of production research 1 International review of economics & finance : IREF 1 The journal of energy markets 1 Working papers 1
Source
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ECONIS (ZBW) 6 RePEc 2
Showing 1 - 8 of 8
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Hybrid ML models for volatility prediction in financial risk management
Kumar, Satish; Rao, Amar; Dhochak, Monika - In: International review of economics & finance : IREF 98 (2025), pp. 1-18
Persistent link: https://www.econbiz.de/10015331616
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Q-learning based hyper-heuristic with clustering strategy for combinatorial optimization : a case study on permutation flow-shop scheduling problem
Yang, Yuan-yuan; Qian, Bin; Li, Zuocheng; Hu, Rong; … - In: Computers & operations research : an international journal 173 (2025), pp. 1-22
Persistent link: https://www.econbiz.de/10015100792
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Green fourth-party logistics network design under carbon cap-and-trade policy
Zhang, Yuxin; Huang, Min; Wu, Yaoxin; Cao, Zhiguang; … - 2025
Persistent link: https://www.econbiz.de/10015374374
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A policy-based Monte Carlo tree search method for container pre-marshalling
Wang, Ziliang; Zhou, Chenhao; Che, Ada; Gao, Jingkun - In: International journal of production research 62 (2024) 13, pp. 4776-4792
Persistent link: https://www.econbiz.de/10014547396
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Q-Learning-based financial trading systems with applications
Corazza, Marco; Bertoluzzo, Francesco - Dipartimento di Economia, Università Ca' Foscari Venezia - 2014
Learning-based policy evaluation approach known as Q-Learning algorithm (QLa). QLa is an algorithm which real-time optimizes …
Persistent link: https://www.econbiz.de/10010937214
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Q-learning-based financial trading systems with applications
Corazza, Marco; Bertoluzzo, Francesco - 2014 - First draft
Persistent link: https://www.econbiz.de/10011632153
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Improving the Brazilian electricity market : how to replace the centralized dispatch by decentralized market-based bidding
Calabria, Felipe A.; Saraiva, João Tomé; Rocha, Ana Paula - In: The journal of energy markets 11 (2018) 2, pp. 83-106
Persistent link: https://www.econbiz.de/10011999541
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Reinforcement Learning for automatic financial trading: Introduction and some applications
Bertoluzzo, Francesco; Corazza, Marco - Dipartimento di Economia, Università Ca' Foscari Venezia - 2012
The construction of automatic Financial Trading Systems (FTSs) is a subject of research of high interest for both academic environment and financial one due to the potential promises by self-learning methodologies and by the increasing power of actual computers. In this paper we consider...
Persistent link: https://www.econbiz.de/10010599719
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