Methods › General › Optimization › Grammatical evolution + Q-learning
Grammatical evolution and Q-learning
Grammatical evolution + Q-learning
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
This method works as a two-levels optimization algorithm. The outmost layer uses Grammatical evolution to evolve a grammar to build the agent. Then, Q-learning is used the fitness evaluation phase to allow the agent to learn to perform online learning.
Papers archive 2025-07-28
1 shown of 1, 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.
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Evolutionary learning of interpretable decision trees 14 Dec 2020 · 1 repository · arXiv:2012.07723
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 |
|---|---|
| Evolutionary Algorithms | 1 |
| OpenAI Gym | 1 |
| Reinforcement Learning | 1 |
| Reinforcement Learning (RL) | 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