Treffer 121 - 140 von 2.055

121

Multiple sequence alignment based on deep reinforcement learning with self-attention and positional encoding.
Liu Y ; Yuan H ; Zhang Q ; et al.
Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE

Sequence Alignment Reproducibility of Resul... Neural Networks, Compute... Algorithms Software
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122

SpaceRL — A reinforcement learning-based knowledge graph driver
Bermudo, Miguel ; Ayala, Daniel ; Hernández, Inma ; et al.
In SoftwareX May 2025 30

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123

Conformer-RL: A deep reinforcement learning library for conformer generation.
Jiang R ; Gogineni T ; Kammeraad J ; et al.
Publisher: Wiley Country of Publication: United States NLM ID: 9878362 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-987X (Electronic) Linking ISSN: 01928651 NLM ISO Abbreviation: J Comput Chem Subsets: MEDLINE

Algorithms Molecular Conformation Polymers Neural Networks, Compute... Reinforcement, Psycholog...
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124

[formula omitted], a simple reinforcement learning scheme for two-player zero-sum Markov games
Frénay, Benoît ; Saerens, Marco
In Neurocomputing 2009 72(7):1494-1507

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125

Gym-Ignition: Reproducible Robotic Simulations for Reinforcement Learning
Ferigo, Diego ; Traversaro, Silvio ; Metta, Giorgio ; et al.
2020 IEEE/SICE International Symposium on System Integration (SII)

Computer Science - Robot... Computer Science - Distr... Computer Science - Machi... Electrical Engineering a...
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126

Reinforcement learning based connectivity restoration in wireless sensor networks
Kumar, Ramesh ; Amgoth, Tarachand
Applied Intelligence: The International Journal of Research on Intelligent Systems for Real Life Complex Problems. :1-18

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127

Hands-On Genetic Algorithms with Python
Wirsansky, Eyal ; Wirsansky, Eyal ; Wirsansky, Eyal ; et al.

E-Ressource
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128

Chapter 1 - Overview of artificial intelligence methods and data analysis techniques suitable for subsurface datasets
Wood, David A.
In Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems 2025:1-42

Buch
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129

iFANnpp: Nuclear power plant digital twin for robots and autonomous intelligence
Do, Youndo ; Zebrowitz, Marc ; Stahl, Jackson ; et al.
In Annals of Nuclear Energy February 2026 227 Part B

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130

Research on vehicle lateral stability control under low-adhesion road conditions using proximal policy optimization algorithm.
Pang H ; Huang H ; Fan Y ; et al.
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Humans Models, Theoretical Computer Simulation Algorithms Automobile Driving Accidents, Traffic preve...
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131

MAFSIDS: a reinforcement learning-based intrusion detection model for multi-agent feature selection networks
Ren, Kezhou ; Zeng, Yifan ; Zhong, Yuanfu ; et al.
Journal of Big Data. 10(1)

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132

Automated Floor Plan Generation by a Combination of Evolutionary Algorithm (Genetics) and Machine Learning (K-Nearest Neighbors and K-Means Clustering).
Babakhani, Reza ; Safarnejad, Mahsa
International Journal of Architectural Engineering & Urban Planning; 2024, Vol. 34 Issue 4, p1-23, 23p

MACHINE learning ARCHITECTURAL design SUPERVISED learning ARCHITECTURAL designs REINFORCEMENT learning
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133

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134

Decomposing user-defined tasks in a reinforcement learning setup using TextWorld.
Petsanis T ; Keroglou C ; Ch Kapoutsis A ; et al.
Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101749350 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-9144 (Electronic) Linking ISSN: 22969144 NLM ISO Abbreviation: Front Robot AI Subsets: PubMed not MEDLINE

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136

A comparative analysis of reinforcement learning algorithms for earth-observing satellite scheduling.
Herrmann, Adam ; Schaub, Hanspeter
Frontiers in Space Technologies; 2023, p1-19, 19p

MACHINE learning REINFORCEMENT learning DEEP reinforcement learn... SCHEDULING DATA warehousing COMPARATIVE studies
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137

Gym-preCICE: Reinforcement learning environments for active flow control
Shams, Mosayeb ; Elsheikh, Ahmed H.
In SoftwareX July 2023 23

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138

Geoff: The generic optimization framework & frontend for particle accelerator controls
Madysa, P. ; Appel, S. ; Kain, V. ; et al.
In SoftwareX December 2025 32

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139

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140

StarCraft II: A New Challenge for Reinforcement Learning
Vinyals, Oriol ; Ewalds, Timo ; Bartunov, Sergey ; et al.

Computer Science - Learn... Computer Science - Artif...
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