# Learning in novel environments on LV novel environments n=1K (test)

Source: [Learning in novel environments on LV novel environments n=1K (test)](<https://www.sota2.com/research/sota/learning-in-novel-environments-on-lv-novel-environments-n-1k-test>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T06:06:19.176Z

Evaluation of performance on the test split of the LV novel environments dataset (n=1K), typically measured using Mean Squared Error (MSE).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Learning in novel environments |
| Dataset (including any stated split) | LV novel environments n=1K (test) |
| Metric | Test MSE |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 9 of 9 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [Test MSE](<https://www.sota2.com/research/sota/learning-in-novel-environments-on-lv-novel-environments-n-1k-test.md?metric=Test%20MSE>): Lower is better; unit: SCALAR.

## Recorded results

| Method | Test MSE | Result date | Report paper |
| --- | --- | --- | --- |
| Pre-trained-f-Plus-Trained-ge | 0.00111 | Not recorded | 68fa6bd81e209131cea30887 |
| Pre-trained-f-Plus-Trained-ge | 0.00136 | Not recorded | 68fa6bd81e209131cea30887 |
| One-Per-Env. from scratch | 0.00305 | Not recorded | 68fa6bd81e209131cea30887 |
| One-Per-Env. from scratch | 0.00885 | Not recorded | 68fa6bd81e209131cea30887 |
| One-Per-Env. from scratch | 0.23 | Not recorded | 68fa6bd81e209131cea30887 |
| Pre-trained-f-Only | 0.36 | Not recorded | 68fa6bd81e209131cea30887 |
| Pre-trained-f-Only | 0.36 | Not recorded | 68fa6bd81e209131cea30887 |
| Pre-trained-f-Only | 0.36 | Not recorded | 68fa6bd81e209131cea30887 |
| Pre-trained-f-Plus-Trained-ge | 0.73 | Not recorded | 68fa6bd81e209131cea30887 |

### Pre-trained-f-Plus-Trained-ge

Test MSE: 0.00111. Result ID: 698ea53dffc3901de09f6b88.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

[Implementation](<https://github.com/yuan-yin/LEADS>)

Recorded evaluation configuration: {"Training step":"10000"}. This record does not assert independent reproduction.

### Pre-trained-f-Plus-Trained-ge

Test MSE: 0.00136. Result ID: 698ea53dffc3901de09f6b87.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

[Implementation](<https://github.com/yuan-yin/LEADS>)

Recorded evaluation configuration: {"Training step":"2500"}. This record does not assert independent reproduction.

### One-Per-Env. from scratch

Test MSE: 0.00305. Result ID: 698ea53dffc3901de09f6b85.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

Recorded evaluation configuration: {"Training step":"10000"}. This record does not assert independent reproduction.

### One-Per-Env. from scratch

Test MSE: 0.00885. Result ID: 698ea53dffc3901de09f6b84.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

Recorded evaluation configuration: {"Training step":"2500"}. This record does not assert independent reproduction.

### One-Per-Env. from scratch

Test MSE: 0.23. Result ID: 698ea53dffc3901de09f6b83.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

Recorded evaluation configuration: {"Training step":"50"}. This record does not assert independent reproduction.

### Pre-trained-f-Only

Test MSE: 0.36. Result ID: 698ea53dffc3901de09f6b80.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

Recorded evaluation configuration: {"Training step":"50"}. This record does not assert independent reproduction.

### Pre-trained-f-Only

Test MSE: 0.36. Result ID: 698ea53dffc3901de09f6b81.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

Recorded evaluation configuration: {"Training step":"2500"}. This record does not assert independent reproduction.

### Pre-trained-f-Only

Test MSE: 0.36. Result ID: 698ea53dffc3901de09f6b82.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

Recorded evaluation configuration: {"Training step":"10000"}. This record does not assert independent reproduction.

### Pre-trained-f-Plus-Trained-ge

Test MSE: 0.73. Result ID: 698ea53dffc3901de09f6b86.

[Reporting paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6bd81e209131cea30887.md>)

[Implementation](<https://github.com/yuan-yin/LEADS>)

Recorded evaluation configuration: {"Training step":"50"}. This record does not assert independent reproduction.

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