github search·opendilab-lightzero
opendilab/LightZero
opendilab/LightZero: Leveraging the rich world knowledge of Large Language Models (LLMs) to enhance Reinforcement Learning (RL) agents offers a promising path toward general intelligence. However, a fundamental prior-dynamics mismatch hinders existing approaches: static LLM knowledge cannot direct...
AgentScore
31.70.00
+0.00 vs 24h ago
Adoption26.7
Quality—
Momentum60.0
Community50.0
Quality unrated · weight redistributed
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 stars1.6k→ 53.3MCP registry listing0→ 0.0
Pillar = mean of 2 scaled values = 26.7.
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 2d ago. Quality is Unrated — agent has no benchmark results yet.