Agent-STAR

About Agent-STAR

Official implementation for paper "Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe"

agent agentic-rl reinforcement-learning reinforcement-learning-agent

Quick Facts

Stars	24
Forks	1
Language	Python
Category	Agent Tool
Quality Score	44.2/100
Last Updated	2026-05-12
Created	2026-03-21
Platforms	python
Est. Tokens	~51k

Compatible Skills

These tools work well together with Agent-STAR for enhanced workflows:

CodeGym — semantic(0.61)+complementary+rare_topics+same_lang+similar_pop+shared_platform (71%)
LaMer — semantic(0.45)+complementary+rare_topics+same_lang+similar_pop+shared_platform (65%)
ReCall — semantic(0.65)+complementary+rare_topics+same_lang+shared_platform (62%)
Fathom-DeepResearch — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)

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Frequently Asked Questions

What is Agent-STAR?

Agent-STAR is Official implementation for paper "Demystifying Reinforcement Learning for Long-Horizon Tool-Using Agents: A Comprehensive Recipe". It is categorized as a Agent Tool with 24 GitHub stars.

What programming language is Agent-STAR written in?

Agent-STAR is primarily written in Python. It covers topics such as agent, agentic-rl, reinforcement-learning.

How do I install or use Agent-STAR?

You can find installation instructions and usage details in the Agent-STAR GitHub repository at github.com/WxxShirley/Agent-STAR. The project has 24 stars and 1 forks, indicating an active community.

View on GitHub → Browse Agent Tool tools