The Mighty cRL library you've been looking for! 💪
we introduce R2S100K---a large-scale dataset and benchmark for training and evaluation of road segmentation in challenging unstructured roadways.
Coherence-Aware Reinforcement Learning (CARL) - breakthrough LLM post-training and test-time training paradigm. carl builds the world's most advanced and intelligent agent systems that are a step change over current gen agents
Competency Interviewing
CARL-Ω: A 28-DOF simulated primate robot controlled by an active-inference cognitive architecture, spiking neural networks (R-STDP), and a 40,000-dimensional Hyperdimensional Computing (HDC) memory engine in MuJoCo.
Top 1% AI-native development environment — drop-in Claude Code setup: agents, CARL policy engine, 20 hooks, 78 skills, MCP servers, sanitization-tested
The official blog of CARL Research
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