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Search: subject:"Deep Q-learning"
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Learning
6
Lernen
6
Theorie
5
Theory
5
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4
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4
reinforcement learning
4
deep Q-learning
3
Algorithm
2
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2
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2
Deep Q-Learning
2
Deep Q-learning
2
Deep Reinforcement Learning
2
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Lieferkette
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Tourenplanung
2
Vehicle routing problem
2
Actor-Critic
1
Agent-based modeling
1
Agentenbasierte Modellierung
1
Agri-food supply chain
1
Agro-industry
1
Agroindustrie
1
Airline
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Business network
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Capacity planning
1
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Constrained optimization
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Digitalisierung
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Digitization
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Double Deep Q-Learning
1
Dynamic routing
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Forecasting model
1
Interior-point algorithm
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Abio, Albert
1
Acuna-Agost, Rodrigo
1
Askari-Nasab, Hooman
1
Auad, Ramon
1
Bonada, Francesc
1
Bondoux, Nicolas
1
Chen, Liang
1
Ciciretti, Vito
1
Echeverria, Lluís
1
Erera, Alan
1
Fang, Zhigeng
1
Fiig, Thomas
1
Garcia-Llamas, Eduard
1
Geng, Sunyue
1
Grané, Marc
1
Kakde, Shubham Tanaji
1
Kuhlmann, Renke
1
Lange, Danillo
1
Lillo, Fabrizio
1
Liu, Sifeng
1
Lodh, Suman
1
Macrì, Andrea
1
Mandal, Jasashwi
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Mitra, Rony
1
Nandy, Monomita
1
Nguyen, Anh Quan
1
Nievas, Nuria
1
Niu, Yunyun
1
Noriega, Roberto
1
Pagès-Bernaus, Adela
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Pallotta, Alberto
1
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1
Pujante, Jaume
1
Savelsbergh, Martin W. P.
1
Senyo, Prince Kwame
1
Shukla, Aditya
1
Tiwari, Manoj Kumar
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International journal of production research
3
Applied mathematical finance
1
Computers & operations research : an international journal
1
EURO journal on computational optimization
1
European journal of operational research : EJOR
1
International journal of finance & economics : IJFE
1
Journal of revenue and pricing management
1
Transportation science
1
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ECONIS (ZBW)
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1
Forecasting digital asset return : an application of machine learning model
Ciciretti, Vito
;
Pallotta, Alberto
;
Lodh, Suman
;
Senyo, …
- In:
International journal of finance & economics : IJFE
30
(
2025
)
3
,
pp. 3169-3186
Persistent link: https://www.econbiz.de/10015482590
Saved in:
2
A scalable
Deep
Q-Learning
approach for hot stamping process under dynamic control environment
Nievas, Nuria
;
Pagès-Bernaus, Adela
;
Abio, Albert
; …
- In:
International journal of production research
63
(
2025
)
8
,
pp. 2831-2852
Persistent link: https://www.econbiz.de/10015445171
Saved in:
3
Deep Reinforcement Learning based real-time open-pit mining truck dispatching system
Noriega, Roberto
;
Pourrahimian, Yashar
;
Askari-Nasab, Hooman
- In:
Computers & operations research : an international journal
173
(
2025
),
pp. 1-13
Persistent link: https://www.econbiz.de/10015100771
Saved in:
4
Request prompt response in same-day delivery problem with drone resupply
Xiao, Jianhua
;
Chen, Liang
;
Niu, Yunyun
;
Wang, Shuyi
- In:
International journal of production research
63
(
2025
)
13
,
pp. 4845-4863
Persistent link: https://www.econbiz.de/10015445451
Saved in:
5
Actor-critic driven deep reinforcement learning for optimising agri-food supply chain
Shukla, Aditya
;
Kakde, Shubham Tanaji
;
Mitra, Rony
; …
- In:
International journal of production research
63
(
2025
)
24
,
pp. 9913-9932
Persistent link: https://www.econbiz.de/10015555667
Saved in:
6
Dynamic courier capacity acquisition in rapid delivery systems : a
deep
Q-learning
approach
Auad, Ramon
;
Erera, Alan
;
Savelsbergh, Martin W. P.
- In:
Transportation science
58
(
2024
)
1
,
pp. 67-93
Persistent link: https://www.econbiz.de/10014465164
Saved in:
7
Reinforcement learning for optimal execution when liquidity is time-varying
Macrì, Andrea
;
Lillo, Fabrizio
- In:
Applied mathematical finance
31
(
2024
)
5
,
pp. 312-342
Persistent link: https://www.econbiz.de/10015415748
Saved in:
8
An agent-based algorithm for dynamic routing in service networks
Geng, Sunyue
;
Liu, Sifeng
;
Fang, Zhigeng
- In:
European journal of operational research : EJOR
303
(
2022
)
2
,
pp. 719-734
Persistent link: https://www.econbiz.de/10013364018
Saved in:
9
Reinforcement learning applied to airline revenue management
Bondoux, Nicolas
;
Nguyen, Anh Quan
;
Fiig, Thomas
; …
- In:
Journal of revenue and pricing management
19
(
2020
)
5
,
pp. 332-348
Persistent link: https://www.econbiz.de/10012297967
Saved in:
10
Learning to steer nonlinear interior-point methods
Kuhlmann, Renke
- In:
EURO journal on computational optimization
7
(
2019
)
4
,
pp. 381-419
Persistent link: https://www.econbiz.de/10012314127
Saved in:
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