Library/openclaw-rlForked

Gen-Verse/OpenClaw-RL

openclaw-rl

OpenClaw-RL: Train any agent simply by talking

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Builder

Gen-Verse

Gen-Verse • individual

Stars

4,588

Using upstream star count

Forks

462

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Feb 26, 2026

Project creation date

README Summary

OpenClaw-RL is a reinforcement learning framework that allows users to train AI agents through natural language conversations. The system provides an intuitive interface where users can describe tasks and training objectives in plain English, and the framework automatically translates these descriptions into appropriate RL training procedures. It aims to democratize reinforcement learning by removing the need for users to understand complex RL algorithms and hyperparameter tuning.

AI Dev Skills

Unmapped

Reinforcement LearningNatural Language ProcessingConversational AIAgent-based SystemsHuman-AI Interaction

Taxonomy

AI Trends

Agentic AI Conversational AI Interfaces No-code AI Development

Deployment Context

Self-hosted Browser

Industries

Education Gaming Robotics Developer Tools

Modalities

Text

Skill Areas

Reinforcement Learning Natural Language Processing Conversational AI Agent-based Systems Human-AI Interaction

Use Cases

Conversational Agent Training Educational RL Demonstrations Rapid Prototyping of RL Agents Non-technical RL Experimentation

Recent Activity

Updated 27 days ago

7 Days

30 Days

90 Days

Quality

prototype

Quality: low
Maturity: prototype

PM Skills

Developer Platform

Languages

TypeScript100.0%

Timeline

Project created: Feb 26, 2026
Forked: Mar 13, 2026
Your last push: 27 days ago
Upstream last push: 8 days ago
Tracked since: Mar 17, 2026

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