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Browser Use·Oct 23, 2026·Initial Release·open source
rl-env-use
rl-env-use is an open-source tool that converts a one-line skill description into a verified reinforcement learning environment. It leverages Browser Use agents to mine real-world cases from the web, creating datasets and graders that help train models and optimize prompts.
Reinforcement LearningAI AgentsOpen SourceEvaluation
overview
rl-env-use is an open-source tool that converts a one-line skill description into a verified reinforcement learning environment. It leverages Browser Use agents to mine real-world cases from the web, creating datasets and graders that help train models and optimize prompts.
key features
- 01One-line skill description to environment generation
- 02Automated mining of real-world cases using Browser Use agents
- 03Built-in task filtering to reject bad or ambiguous prompts
- 04Hillclimbing workflow for model system prompt optimization
- 05Exportable datasets for RL trainers or programmatic environment access
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