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| author | aethrvmn <me@aethrvmn.gr> | 2025-12-14 18:09:48 +0000 |
|---|---|---|
| committer | aethrvmn <me@aethrvmn.gr> | 2025-12-14 18:09:48 +0000 |
| commit | a5619977044e8190e1e74c374dbacae23458c431 (patch) | |
| tree | e29e72c1a15e98b712273fbf10816ee6aa1435d0 /content/theses/technological/research/arc-agi/approach.md | |
| parent | moved to custom license (NESL) (diff) | |
added titles
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| -rw-r--r-- | content/theses/technological/research/arc-agi/approach.md (renamed from content/theses/research/arc-agi/approach.md) | 2 |
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diff --git a/content/theses/research/arc-agi/approach.md b/content/theses/technological/research/arc-agi/approach.md index 3745b68..4b034a0 100644 --- a/content/theses/research/arc-agi/approach.md +++ b/content/theses/technological/research/arc-agi/approach.md @@ -2,6 +2,8 @@ title: approach weight: 20 --- +<h1>My Approach</h1> + My idea is to use my [`alectors`](https://docs.apotheke.earth/alectors) library to parse the JSON as tokens, as standard LLM approaches do, but because it is a pure RL library, it is a *markov decision process* not a *markov chain*. ## observation space |
