github search·cuso4-chen-akbe
CuSO4-Chen/AKBE
CuSO4-Chen/AKBE: Agentic reinforcement learning (RL) has proven effective for training LLM-based agents with external tool-use capabilities. However, we identify that agentic RL training induces increasing redundant tool calls and blurs the model's intrinsic knowledge boundary, where the model...
AgentScore
9.50.00
+0.00 vs 24h ago
Adoption5.3
Quality—
Momentum50.0
Community8.0
Quality unrated · weight redistributed
CapabilitiesCode GenerationRag
DeploymentIde Plugin
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars8→ 15.9MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 5.3.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: SO questions (7d), 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, PyPI monthly installs
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Score envelope last computed 15d ago. Quality is Unrated — agent has no benchmark results yet.