Methods › Reinforcement Learning › Board Game Models › TD-Gammon
TD-Gammon
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.
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.
-
On-line Policy Improvement using Monte-Carlo Search 9 Jan 2025 · 0 repositories · arXiv:2501.05407
-
Model Predictive Control and Reinforcement Learning: A Unified Framework Based on Dynamic Programming 2 Jun 2024 · 0 repositories · arXiv:2406.00592
-
Search in Imperfect Information Games 10 Nov 2021 · 0 repositories · arXiv:2111.05884
-
A Hierarchical Reinforcement Learning Method for Persistent Time-Sensitive Tasks 20 Jun 2016 · 0 repositories · arXiv:1606.06355
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.
| Task | Papers |
|---|---|
| Reinforcement Learning (RL) | 2 |
| Hierarchical Reinforcement Learning | 1 |
| Model Predictive Control | 1 |
| Reinforcement Learning | 1 |
| reinforcement-learning | 1 |
Usage over time archive 2025-07-28
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
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections