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  1. Home
  2. /Repositories
  3. /Alibaba-Quark/SSP
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repoGitHubTrust 82 · PrimaryPublished 23d agoLive · 23d ago

Alibaba-Quark/SSP

Search Self-Play: Pushing the Frontier of Agent Capability without Supervision

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 57%Agentic Resource Discovery: Let agents search →
  • PossiblePossibly related (embedding) · 54%I made a superhuman Generals.io agent with self-play RL [P] →
  • PossiblePossibly related (embedding) · 54%Alibaba's model never trained as an agent — and improved agent performance across seven benchmarks →

Covers

newsAgentic Resource Discovery: Let agents searchnewsI made a superhuman Generals.io agent with self-play RL [P]newsAlibaba's model never trained as an agent — and improved agent performance across seven benchmarks

Related across the graph

newsAgentic Resource Discovery: Let agents searchnewsI made a superhuman Generals.io agent with self-play RL [P]newsAlibaba's model never trained as an agent — and improved agent performance across seven benchmarks
Knowledge path·NAgentic Resource Discovery: Let agents search→NI made a superhuman Generals.io agent with self-play RL [P]→NAlibaba's model never trained as an agent — and improved agent performance across seven benchmarks→RAlibaba-Quark/SSP

Topics

agentalibabadeep-researchllmreinforcement-learningself-play

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Graph trust82Primary
Graph score103