github search·xizhu1022-trackrl
xizhu1022/TrackRL
xizhu1022/TrackRL: Skill-augmented agentic RL has emerged as an effective approach to improving LLM agents on long-horizon tasks. Despite this progress, individual skills may follow distinct trajectories as the policy evolves, with some becoming redundant after the model internalizes their capab...
AgentScore
0.00.00
+0.00 vs 24h ago
Adoption0.0
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Unrated pillars contribute zero
CapabilitiesCode GenerationMulti Agent
DeploymentIde Plugin
MaturityExperimental
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Pillar contributions
- MCP registry listing0→ 0.0SO questions (7d)0→ 0.0
Pillar = mean of 2 scaled values = 0.0.
Awaiting first reading — these signals apply to this agent and will be ingested on the next tier tick: GitHub stars, 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 18d ago. Quality is Unrated — agent has no benchmark results yet.