What is autonomous-rl-agent?
autonomous-rl-agent is a coding that A production-ready reinforcement learning agent using Proximal Policy Optimization (PPO) built from scratch with PyTorch.. It has a Nerq Trust Score of 73/100 (B). 0 GitHub stars. Published by 01-Audrey. Last analyzed April 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 1/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ✅ Transparency: License: MIT — Clear licensing
Trust & Safety Overview
What autonomous-rl-agent Does
autonomous-rl-agent is a agent in the coding category. A production-ready reinforcement learning agent using Proximal Policy Optimization (PPO) built from scratch with PyTorch.. It is published by 01-Audrey and is open source. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use autonomous-rl-agent
autonomous-rl-agent is well-suited for production use given its strong trust score and active community.
Details
| Author | 01-Audrey |
|---|---|
| Category | coding |
| License | MIT |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 1/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=autonomous-rl-agent
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated April 2026. Trust scores based on automated analysis of public data.