Implement a tree-search strategy for training large language models in reinforcement learning tasks.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[ICLR 2026] Tree Search for LLM Agent Reinforcement Learning
Tree-GRPO has 385 stars on GitHub. It has been forked 38 times. Tree-GRPO is written mainly in Python. It has been in active development since 2025. Tree-GRPO is available under the Apache-2.0 license. Its main topics are agent, large-language-model, llm, reinforcement-learning.
[ICLR 2026] Tree Search for LLM Agent Reinforcement Learning
Tree-GRPO is an open-source project. It is released under the Apache-2.0 license.
Yes. Tree-GRPO is free and open source — you can use, modify and self-host it.
Tree-GRPO is available under the Apache-2.0 license.
Tree-GRPO is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/amap-ml-tree-grpo.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.