bunny127/Reagent-RL-709K
Official Repo of Reagent Agent RL training dataset (Reagent-RL-709K). Paper: https://arxiv.org/abs/2601.22154 Abstract: Agentic Reinforcement Learning (Agentic RL) has achieved notable success in enabling agents to perform complex reasoning and tool use. However, most methods still relies on sparse outcome-based reward for training. Such feedback fails to differentiate intermediate reasoning quality, leading to suboptimal training results. In this paper, we… See the full description on the dataset page: https://huggingface.co/datasets/bunny127/Reagent-RL-709K.
| Author / organization | bunny127 |
|---|---|
| Downloads | 573 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 21 January 2026 |
| Last updated at source | 3 February 2026 |
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- 16 Oct 2026 Description: Official Repo of Reagent Agent RL training dataset (Reagent-RL-709K). Paper: https://arxiv.org/abs/2601.22154 Abstract: Agentic Reinforcement Learning (Agentic RL) has achieved notable success in enabling agents to perform complex reasoning → Official Repo of Reagent Agent RL training dataset (Reagent-RL-709K). Paper: https://arxiv.org/abs/2601.22154 Abstract: Agentic Reinforcement Learning (Agentic RL) has achieved notable success in enabling agents to perform complex reasoning
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