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TD-Gammon

introduced 1992 4 papers tagged archive 2025-07-28

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

TD-Gammon is a game-learning architecture for playing backgammon. It involves the use of a TD(λ) learning algorithm and a feedforward neural network.

Credit: Temporal Difference Learning and TD-Gammon

Papers archive 2025-07-28

4 shown of 4, 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

5 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
Reinforcement Learning (RL)2
Hierarchical Reinforcement Learning1
Model Predictive Control1
Reinforcement Learning1
reinforcement-learning1

Usage over time archive 2025-07-28

Papers per year tagged with TD-Gammon: 2016 to 2025, peak 1 1 0 2016: 1 paper 2016 2017: 0 papers 2017 2018: 0 papers 2018 2019: 0 papers 2019 2020: 0 papers 2020 2021: 1 paper 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 1 paper 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (4 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

Board Game Models

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