LARK-Lab/EnvFactory-RL
EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL ## Overview EnvFactory-RL is a reinforcement learning dataset containing 3,090 tool-use trajectories synthesized using the EnvFactory framework. This dataset is designed for training tool-use agents via Agentic Reinforcement Learning (Agentic RL). The dataset contains multi-turn tool-use trajectories with implicit human reasoning, generated… See the full description on the dataset page: https://huggingface.co/datasets/LARK-Lab/EnvFactory-RL.
| Author / organization | LARK-Lab |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 202 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 19 May 2026 |
| Last updated at source | 20 May 2026 |
Popularity, last 2 days
202 now (+58 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
- mradermacher/EnvFactory-4B-GGUFModel · used to train
- EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RLPaper · cites
- mradermacher/EnvFactory-8B-i1-GGUFModel · used to train
- mradermacher/EnvFactory-8B-GGUFModel · used to train
Recent changes
- 16 Oct 2026 Description: EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL ## Overview EnvFactory-RL is a reinforcement learning dataset containing 3,090 tool-use trajectories synthesized using the EnvFactory framework. This da → EnvFactory: Scaling Tool-Use Agents via Executable Environments Synthesis and Robust RL ## Overview EnvFactory-RL is a reinforcement learning dataset containing 3,090 tool-use trajectories synthesized using the EnvFactory framework. This da
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