github search·lins-lab-proas
LINs-lab/ProAS
LINs-lab/ProAS: Reinforcement learning (RL) has emerged as the primary paradigm for optimizing Large Language Model (LLM) agents, yet efficient critic-free algorithms (e.g., GRPO) suffer from a fundamental uniform credit assignment dilemma that broadcasts trajectory-level advantages equally t...
AgentScore
8.90.00
+0.00 vs 24h ago
Adoption1.3
Quality—
Momentum60.0
Community8.0
Unrated pillars contribute zero
CapabilitiesCode GenerationRag
DeploymentIde Plugin
MaturityExperimental
Score breakdown
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Pillar contributions
- GitHub stars1→ 5.0MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 3 scaled values = 1.3.
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, PyPI monthly installs
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