Read this first. The reading copy of this directory is t2ance/atlas-experiments under 32-turn-level-actor-critic/; the saved training steps and the per-token training arrays are only in the Hugging Face repository t2ance/atlas-32-turn-level-actor-critic.
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Size1.1 GB
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Dataset Card
Read this first. The reading copy of this directory is t2ance/atlas-experiments under 32-turn-level-actor-critic/; the saved training steps and the per-token training arrays are only in the Hugging Face repository t2ance/atlas-32-turn-level-actor-critic. Does a critic that predicts the return at the start of each turn, and is supervised there alone, learn on the orchestrator's rollouts (report 30's token-level critic did not), and does a policy trained on its turn-level advantages keep reading candidates where reading pays (report 31's critic-free training dropped to 0.93 explores a problem with the accuracy of its submissions unchanged)? - W&B runs, in pqin/atlas-grpo: the smoke…
Excerpt from the card by Peijia Qin.
Details
- Repository
- t2ance/atlas-32-turn-level-actor-critic
- Publisher
- Peijia Qin
- Task category
- Not stated by the source
- Tags
- Not stated by the source
- Size category
- Not stated by the source
- Languages
- Not stated by the source
- Revision
- eb354138bbbc18ff0a6f2fed74beef848f419247
- Last updated
- 2026-09-23
Files
4,614 files, 1.1 GB in total.
Data3000 files · 715.3 MB
Every file (first 3,000)
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| artifacts/r32-turn-critic/train/step_11/4222169a-f837-4bc8-9a54-d7c1957f9807_0.json | Data | 439.6 KB | — |
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Download from Peijia Qin
Released by Peijia Qin through its official repository on Hugging Face.