joonleesky/simbaV2
Official dataset release for the paper SimbaV2: Hyperspherical Normalization for Scalable Deep Reinforcement Learning by Hojoon Lee1†, Youngdo Lee1†, Takuma Seno2, Donghu Kim1, Peter Stone2, 3, Jaegul Choo1 (1 KAIST 2 Sony AI 3 UT Austin) Introduction SimbaV2 is a reinforcement learning architecture designed to stabilize training via hyperspherical normalization. By increasing model capacity and compute… See the full description on the dataset page: https://huggingface.co/datasets/joonleesky/simbaV2.
| Author / organization | joonleesky |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 131 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 23 February 2025 |
| Last updated at source | 3 March 2025 |
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