by Gen-Verse · Agent Tool · ★ 545
RLAnything (ICML 2026) & AutoTool (ICML 2026), DemyAgent: Open-Source RL for LLMs and Agentic Scenarios RLAnything (click to expand) RLAnything: Forge Environment, Policy, and Reward Model in Completely Dynamic RL System An overview of our research on RLAnything. In this work, we propose RLAnything, a reinforcement learning framework that dynamically optimizes each component through close
| Stars | 545 |
| Forks | 54 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 64.7509178108662/100 |
| Open Issues | 9 |
| Last Updated | 2026-06-12 |
| Created | 2025-10-13 |
| Platforms | python |
| Est. Tokens | ~13k |
These tools work well together with Open-AgentRL for enhanced workflows:
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Open-AgentRL is RLAnything (ICML 2026) & AutoTool (ICML 2026), DemyAgent: Open-Source RL for LLMs and Agentic Scenarios. It is categorized as a Agent Tool with 545 GitHub stars.
Open-AgentRL is primarily written in Python. It covers topics such as agent-rl, coding-agent, entropy-method.
You can find installation instructions and usage details in the Open-AgentRL GitHub repository at github.com/Gen-Verse/Open-AgentRL. The project has 545 stars and 54 forks, indicating an active community.
Open-AgentRL is released under the Apache-2.0 license, making it free to use and modify according to the license terms.