Methods › Reinforcement Learning › Reinforcement Learning Frameworks › AM

Attention Model

AM

274 papers tagged archive 2025-07-28

Introduced by Wouter Kool et al. in Attention, Learn to Solve Routing Problems!

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The archive carries no description for this method.

PaperSource

Papers archive 2025-07-28

30 shown of 274, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 239 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Speech Recognition34
speech-recognition34
Automatic Speech Recognition24
Automatic Speech Recognition (ASR)24
Language Modelling21
Transfer Learning14
Language Modeling13
Argument Mining10
Classification9
Defect Detection9
Reinforcement Learning (RL)9
reinforcement-learning9
Anomaly Detection7
Deep Reinforcement Learning7
Management7
Marketing7
regression7
Computational Efficiency6
Dependency Parsing6
General Classification6

Usage over time archive 2025-07-28

Papers per year tagged with AM: 2018 to 2025, peak 62 62 0 2018: 24 papers 2018 2019: 21 papers 2019 2020: 31 papers 2020 2021: 34 papers 2021 2022: 39 papers 2022 2023: 37 papers 2023 2024: 62 papers 2024 2025: 26 papers 2025
Papers per year the archive tags with this method, by the paper's archive date (274 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Reinforcement Learning Frameworks

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