GRSE Assigns Behavioral Credit in Multi-Agent Teams via Group-Relative Comparisons
Mayoclinic · hf · 2026-10-22
GRSE improves cooperative language agent teams by comparing repeated group executions to assign behavioral credit to specific agent-skill pairs. It induces new skills from failures, refines harmful skills rather than pruning them, and gates updates by validation gains, outperforming prior methods on multi-hop reasoning and recovering from harmful skills.
More from coding & agent
- Hooking an AI Up to Your Bank Account With a 'Homeostasis' Goal Is the New Agent Pet — mimi10v3 · 2026-10-22
- Coinbase Ships Perps Trading for AI Agents After an Agent's Feedback Became a PR in 5 Minutes — MurrLincoln · 2026-10-22
- Grok Bot + REA workflow reverse-engineers paid apps to rebuild one feature for $0/month — alexcovo_eth · 2026-10-22
- terrio v0.4.0: Pure-Rust Geospatial I/O Library Ditches GDAL, CLI Under 15MB — giswqs · 2026-10-22
- DeepSeek-V4.1-Flash spotted running 5 parallel research subagents at near-zero cost — teortaxesTex · 2026-10-22
- One Cloudflare Durable Object at $9/month replaces Supabase's ~$33K real-time sync plan — threepointone · 2026-10-22