github search·alibaba-nlp-qqr
Alibaba-NLP/qqr
Alibaba-NLP/qqr: Reinforcement learning (RL) has emerged as a key paradigm for improving large language model (LLM) agents, enabling stronger reasoning, planning, and tool-use in interactive environments. However, existing agent RL methods remain fundamentally constrained by an on-policy reaso...
AgentScore
29.60.00
+0.00 vs 24h ago
Adoption11.8
Quality50.0
Momentum60.0
Community29.5
Unrated pillars contribute zero
CapabilitiesCode GenerationRag
DeploymentIde Plugin
MaturityExperimental
Score breakdown
Headline plus the four pillars over time. Click any pillar below to see the signals feeding it.
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Pillar contributions
- GitHub stars319→ 41.7PyPI monthly installs24→ 17.5MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 4 scaled values = 11.8.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: Product Hunt upvotes, Docker Hub pulls, Crates.io downloads (90d), Tech-news mentions (30d)
Not applicable — this agent doesn't have the prerequisite (no GitHub repo, no HF mirror, etc.) for these signals to ever apply: HF downloads (30d), npm weekly installs
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Score envelope last computed 3d ago.