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  • Suche: Deep Reinforcement Learning with Python Second Edition

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1

The beer game bullwhip effect mitigation: a deep reinforcement learning approach.
Rozhkov, Maxim ; Alyamovskaya, Nataliya ; Zakhodiakin, Gleb
International Journal of Production Research. Sep2025, Vol. 63 Issue 18, p6630-6647. 18p.

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2

A scalable Deep Q-Learning approach for hot stamping process under dynamic control environment.
Nievas, Nuria ; Pagès-Bernaus, Adela ; Abio, Albert ; et al.
International Journal of Production Research. Apr2025, Vol. 63 Issue 8, p2831-2852. 22p.

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3

A transformer-based deep reinforcement learning approach for dynamic parallel machine scheduling problem with family setups.
Li, Funing ; Lang, Sebastian ; Tian, Yuan ; et al.
Journal of Intelligent Manufacturing. Oct2025, Vol. 36 Issue 7, p4735-4768. 34p.

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4

Transit Signal Priority under Connected Vehicle Environment: Deep Reinforcement Learning Approach.
Yang, Tianjia ; Fan, Wei
Journal of Intelligent Transportation Systems. Sep2025, Vol. 29 Issue 5, p505-517. 13p.

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5

Deep Reinforcement Learning with Python
Ravichandiran, Sudharsan ; Ravichandiran, Sudharsan ; Ravichandiran, Sudharsan ; et al.

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6

Large Language Model-Assisted Deep Reinforcement Learning from Human Feedback for Job Shop Scheduling.
Zeng, Yuhang ; Lou, Ping ; Hu, Jianmin ; et al.
Machines; May2025, Vol. 13 Issue 5, p361, 25p

REINFORCEMENT learning DEEP reinforcement learn... LANGUAGE models PRODUCTION scheduling REWARD (Psychology)
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7

A Deep Reinforcement Learning-Based Cooperative Guidance Strategy Under Uncontrollable Velocity Conditions.
Cui, Hao ; Zhang, Ke ; Tan, Minghu ; et al.
Aerospace (MDPI Publishing); May2025, Vol. 12 Issue 5, p411, 24p

DEEP reinforcement learn... REINFORCEMENT learning REWARD (Psychology) PARTICIPATORY design OSCILLATIONS
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8

Marine Voyage Optimization and Weather Routing with Deep Reinforcement Learning.
Latinopoulos, Charilaos ; Zavvos, Efstathios ; Kaklis, Dimitrios ; et al.
Journal of Marine Science & Engineering; May2025, Vol. 13 Issue 5, p902, 35p

DEEP reinforcement learn... REINFORCEMENT learning ENERGY consumption HEURISTIC AUTODIDACTICISM
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9

Reinforcement Learning Methods for Computation Offloading: A Systematic Review.
ZABIHI, ZEINAB ; MOGHADAM, AMIR MASOUD EFTEKHARI ; REZVANI, MOHAMMAD HOSSEIN
ACM Computing Surveys. Jan2024, Vol. 56 Issue 1, p1-41. 41p.

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11

Agent Enhancement using Deep Reinforcement Learning Algorithms for Multiplayer game (Slither.io).
Sivanaiah, Rajalakshmi ; Singh, Abrit Pal ; Gupta, Aviansh ; et al.
International Journal of Next-Generation Computing; Nov2024, Vol. 15 Issue 3, p195-208, 14p

DEEP reinforcement learn... MACHINE learning AUTODIDACTICISM MULTIPLAYER games VIDEO games REINFORCEMENT learning
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12

Modular production control using deep reinforcement learning: proximal policy optimization.
Mayer, Sebastian ; Classen, Tobias ; Endisch, Christian
Journal of Intelligent Manufacturing. Dec2021, Vol. 32 Issue 8, p2335-2351. 17p.

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13

Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problem.
Koster, Raphael ; Pîslar, Miruna ; Tacchetti, Andrea ; et al.
Nature Communications; 3/22/2025, Vol. 16 Issue 1, p1-13, 13p

DEEP reinforcement learn... REINFORCEMENT learning HUMAN behavior RESOURCE allocation MULTIPLAYER games
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14

Intelligent vibration control of tensile cable based on deep reinforcement learning.
Zhang, Enqi ; Xiang, Sheng ; Cheng, Bin ; et al.
Advances in Structural Engineering; Mar2025, Vol. 28 Issue 4, p736-752, 17p

DEEP reinforcement learn... STRUCTURAL engineering INTELLIGENT control syst... TRAFFIC safety CABLE-stayed bridges CABLE structures
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15

Cloud–Edge Collaborative Model Adaptation Based on Deep Q-Network and Transfer Feature Extraction.
Chen, Jue ; Cheng, Xin ; Jia, Yanjie ; et al.
Applied Sciences (2076-3417); Aug2025, Vol. 15 Issue 15, p8335, 17p

EDGE computing REINFORCEMENT learning ARTIFICIAL intelligence REAL-time computing FEATURE extraction DISTRIBUTED computing …
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16

Dynamic preventive maintenance strategy for a heterogeneous multi-unit redundant system: A deep reinforcement learning approach with weighted network estimator.
Xu, Deming ; Wang, Yan ; Liu, Xiang ; et al.
Applied Intelligence; Aug2025, Vol. 55 Issue 12, p1-41, 41p

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17

Optimizing Traffic at Intersections With Deep Reinforcement Learning.
Boyko, Nataliya ; Mokryk, Yaroslav ; Hwang, Yuh-Shyan
Journal of Engineering (2314-4912); 11/16/2024, Vol. 2024, p1-28, 28p

DEEP reinforcement learn... MACHINE learning TRAFFIC signs & signals TRAFFIC engineering SIGNALIZED intersections REINFORCEMENT learning
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18

Intelligent multipath congestion control algorithm based on subflow coupling perception.
Xu, Yanyan ; Wang, Bingqi ; Pan, Shaoming ; et al.
Cluster Computing; Aug2025, Vol. 28 Issue 4, p1-25, 25p

REINFORCEMENT learning DEEP reinforcement learn... LONG short-term memory COUPLINGS (Gearing) INTELLIGENT control syst...
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19

An intelligent MIMO run-to-run controller for semiconductor manufacturing processes based on an enhanced twin-delayed deep deterministic policy gradient algorithm.
Ma, Zhu ; Chen, Yonglin ; Pan, Tianhong
Applied Intelligence; Jul2025, Vol. 55 Issue 10, p1-25, 25p

DEEP reinforcement learn... REINFORCEMENT learning ARTIFICIAL intelligence MANUFACTURING processes INTELLIGENT control syst... SEMICONDUCTOR manufactur...
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20

Optimizing Markov decision process state design for deep reinforcement learning manufacturing scheduling using Bayesian optimization Open Access.
Yoo, Woo-Sik ; Kim, Jongeun ; Concha, David Molina ; et al.
Journal of Computational Design & Engineering; Oct2025, Vol. 12 Issue 10, p154-175, 22p

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