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1
Optimising darts strategy using Markov decision processes and reinforcement
learning
Baird, Graham
- In:
Journal of the Operational Research Society
71
(
2020
)
6
,
pp. 1020-1037
Persistent link: https://www.econbiz.de/10012264495
Saved in:
2
Bayesian exploration for approximate dynamic programming
Ryzhov, Ilya O.
;
Mes, Martijn
;
Powell, Warren B.
;
Van …
- In:
Operations research
67
(
2019
)
1
,
pp. 198-214
Persistent link: https://www.econbiz.de/10012000816
Saved in:
3
Dynamic programming principles for mean-field controls with
learning
Gu, Haotian
;
Guo, Xin
;
Wei, Xiaoli
;
Xu, Renyuan
- In:
Operations research
71
(
2023
)
4
,
pp. 1040-1054
Persistent link: https://www.econbiz.de/10014338000
Saved in:
4
Distributed multi-agent reinforcement
learning
approach for energy-saving optimization under disturbance conditions
Wang, Dahan
;
Wu, Jianjun
;
Chang, Ximing
;
Yin, Haodong
- In:
Transportation research : an international journal
200
(
2025
),
pp. 1-22
Persistent link: https://www.econbiz.de/10015451261
Saved in:
5
Efficient reinforcement
learning
in deterministic systems with value function generalization
Wen, Zheng
;
Van Roy, Benjamin
- In:
Mathematics of operations research
42
(
2017
)
3
,
pp. 762-782
Persistent link: https://www.econbiz.de/10011742485
Saved in:
6
Reinforcement
learning
variants for stochastic dynamic combinatorial optimization problems in transportation
Hildebrandt, Florentin D.
;
Bode, Alexander
;
Ulmer, …
-
2023
literature, reinforcement
learning
(RL) has shown potential to quickly evaluate the reward- and value function of the Bellman …
Persistent link: https://www.econbiz.de/10014303677
Saved in:
7
Dynamic stochastic electric vehicle routing with safe reinforcement
learning
Basso, Rafael
;
Kulcsár, Balázs
;
Sanchez-Diaz, Ivan
; …
- In:
Transportation research / E : an international journal
157
(
2022
),
pp. 1-21
Persistent link: https://www.econbiz.de/10013169823
Saved in:
8
Dynamic
learning
and decision making via basis weight vectors
Zhang, Hao
- In:
Operations research
70
(
2022
)
3
,
pp. 1835-1853
Persistent link: https://www.econbiz.de/10013366270
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9
Opportunities for reinforcement
learning
in stochastic dynamic vehicle routing
Hildebrandt, Florentin D.
;
Thomas, Barrett W.
;
Ulmer, …
- In:
Computers & operations research : and their …
150
(
2023
),
pp. 1-14
Persistent link: https://www.econbiz.de/10013483616
Saved in:
10
Condition-based production for stochastically deteriorating systems : optimal policies and
learning
Drent, Collin
;
Drent, Melvin
;
Arts, Joachim
- In:
Manufacturing & service operations management : M & SOM
26
(
2024
)
3
,
pp. 1137-1156
Persistent link: https://www.econbiz.de/10014536811
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