by DistRL-lab · AI 工具 · ★ 24
DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents ICLR 2025 🤖 DistRL Setup Guide This is the code repo for Paper DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents Paper link https://arxiv.org/pdf/2410.14803 Website and Demo: https://ai-agents-2030.github.io/DistRL/ We will release the Model Weights and Dataset later.
| Stars | 24 |
| Forks | 1 |
| Language | Python |
| Category | AI 工具 |
| License | Apache-2.0 |
| Quality Score | 41.25/100 |
| Open Issues | 2 |
| Last Updated | 2025-08-04 |
| Created | 2024-10-23 |
| Platforms | python |
| Est. Tokens | ~53k |
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distrl-open is DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agents. It is categorized as a AI 工具 with 24 GitHub stars.
distrl-open is primarily written in Python. It covers topics such as agent, fine-tuning, llm-agent.
You can find installation instructions and usage details in the distrl-open GitHub repository at github.com/DistRL-lab/distrl-open. The project has 24 stars and 1 forks, indicating an active community.
distrl-open is released under the Apache-2.0 license, making it free to use and modify according to the license terms.