What is Blackjack-Reinforcement-Learning?
Blackjack-Reinforcement-Learning is a coding that Custom Blackjack environment with AI agents using the Hi-Lo card counting system, Q-learning, and Deep Q-learning.. It has a Nerq Trust Score of 54/100 (D). 0 GitHub stars. Published by MatejSev. Last analyzed October 2026.
Why This Score
- ⚠️ Security: 0/100 — Some security concerns
- ⚠️ Maintenance: 0/100 — Maintenance activity is low
- ⚠️ Community: 0 stars, 0 downloads — Growing community
- ⚠️ Transparency: License: Not specified — No license specified
Trust & Safety Overview
What Blackjack-Reinforcement-Learning Does
Blackjack-Reinforcement-Learning is a agent in the coding category. Custom Blackjack environment with AI agents using the Hi-Lo card counting system, Q-learning, and Deep Q-learning.. It is published by MatejSev and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.
Who Should Use Blackjack-Reinforcement-Learning
Blackjack-Reinforcement-Learning is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.
Details
| Author | MatejSev |
|---|---|
| Category | coding |
| License | Not specified |
| Type | agent |
| Source | View on GitHub |
| Security Score | 0/100 |
| Activity Score | 0/100 |
How to Get Started
Check the trust score before installing:
curl nerq.ai/v1/preflight?target=blackjack-reinforcement-learning
Setup guide · Full safety report · Production review · Is it safe?
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Frequently Asked Questions
Last updated October 2026. Trust scores based on automated analysis of public data.