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Instead of training on all game data indiscriminately, use the prior-Q and prior-policy recorded values to deduce how "unexpected" the actual played move was. If we filter for all the interesting move…
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**Describe the bug**
Initial warning of feature length not matching targets after refining samples in the Create New Dataset tab. This is followed by an error in Active Learning ('input with inconsis…
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When running
```bash
python qnIPV_experiment.py --num_init=10 --model=svgp --num_steps=250 --seed=1 --output=malaria_nipv_svgp_1.pt
```
as given in the README.md, I get the following exception:
`…
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- pdf link [go to the pdf](http://burrsettles.com/pub/settles.activelearning.pdf)
- 해당 서베이는 기존 연구를 잘 정리하였다고 다른 논문에서 많이 언급되었다. 다만 2022년에 읽는것이 적절한지 판단이 서지 않는다. 아직 active learning 분야에 낮설다고 판단하여 우선 읽어볼 예…
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Problem:
- Current sequential Monte-Carlo is still inapplicable to large scale knowledge graphs.
Possible approaches:
- Random sampling on subset of entities and relations.
- Hierarchical sampling on…
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# 경험 중심 학습을 통한 능동적인 성장
[https://hudi.blog/active-growth-through-experiential-learning/](https://hudi.blog/active-growth-through-experiential-learning/)
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Requested in the [Slack community](https://cleanlab.ai/slack)
Objectives:
1) Make a multi-label version of the `get_active_learning_scores` function:
https://docs.cleanlab.ai/master/cleanlab/mu…
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Build in active learning to scoping
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Every time we write out a configuration, we call a separate energy model. We could use a full model here which also computes uncertainties.