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I RL
I RL is an open-source autonomous agent that uses reinforcement learning to train machine learning models
verified Jul 15, 2026 · HTTP 200
CohortClass of 2026What it is
I RL is an open-source autonomous agent that uses reinforcement learning to train machine learning models. It aims to reduce training costs to around $1.3k by iteratively improving model performance. The project is available on GitHub for developers to experiment and extend.
HTTP liveness
1 probe since Jul 15Jul 15Jul 15
AliveHard-dead (404/5xx/parked)RedirectedUnverified (timeout/DNS/block)
Observed events
probes · press · GitHub- Jul 15, 2026First probe — liveAlive · 200 OK
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Pulse Indexobserved activity
1 probe0 pressGitHub ✓Tranco –
Not enough observed signals for a Pulse Index (needs 2+ signal families).
GitHub tracking stale
Cohort survival · Class of 2026weekly
550 products launched in 2026 · 100% still active
550 active0 sunset
Still active
100%
Median lifespan
4.9y