Reinforcement learning algorithm based on general fuzzifiedcerebellar model articulation controller
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Bibliographic record
Abstract
Based on the conventional cerebellar model articulation controller (CMAC), a general fuzzified CMAC(GFCMAC) is proposed, in which the fuzzy membership functions are utilized as the receptive field functions. By using GFCMAC, the approximation of complex functions can be obtained which is more continuous than using conventional CMAC. The mapping of receptive field functions, the selection law of membership functions with their parameters and the learning algorithm are presented. A GFCMAC based reinforcement learning algorithm is discussed, its implementation is with reinforcement learning, also given. Applying the reinforcement learning algorithm in a ship steering (control,)?the?simulation?results?show?that?the?ship?course?can?be?properly?controlled?when?changeable?wind?and?wave?exist.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it