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| author | aethrvmn <me@aethrvmn.gr> | 2025-12-14 18:09:48 +0000 |
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| committer | aethrvmn <me@aethrvmn.gr> | 2025-12-14 18:09:48 +0000 |
| commit | a5619977044e8190e1e74c374dbacae23458c431 (patch) | |
| tree | e29e72c1a15e98b712273fbf10816ee6aa1435d0 /content/theses/technological/research | |
| parent | moved to custom license (NESL) (diff) | |
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| -rw-r--r-- | content/theses/technological/research/_index.md (renamed from content/theses/research/_index.md) | 0 | ||||
| -rw-r--r-- | content/theses/technological/research/arc-agi/_index.md (renamed from content/theses/research/arc-agi/_index.md) | 0 | ||||
| -rw-r--r-- | content/theses/technological/research/arc-agi/approach.md (renamed from content/theses/research/arc-agi/approach.md) | 2 | ||||
| -rw-r--r-- | content/theses/technological/research/arc-agi/introduction.md (renamed from content/theses/research/arc-agi/introduction.md) | 1 |
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diff --git a/content/theses/research/_index.md b/content/theses/technological/research/_index.md index 7e23064..7e23064 100644 --- a/content/theses/research/_index.md +++ b/content/theses/technological/research/_index.md diff --git a/content/theses/research/arc-agi/_index.md b/content/theses/technological/research/arc-agi/_index.md index 89585e6..89585e6 100644 --- a/content/theses/research/arc-agi/_index.md +++ b/content/theses/technological/research/arc-agi/_index.md 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 diff --git a/content/theses/research/arc-agi/introduction.md b/content/theses/technological/research/arc-agi/introduction.md index ea7e06e..1872a1b 100644 --- a/content/theses/research/arc-agi/introduction.md +++ b/content/theses/technological/research/arc-agi/introduction.md @@ -2,6 +2,7 @@ title: introduction weight: 10 --- +<h1>Introduction to ARC-AGI</h1> [ARC-AGI-2](https://arcprize.org) is a competition regarding pattern recognition for machine learning algorithms. |
