MALBO Bayesian-Optimized Team
Antonio Sabbatella (MALBO master's thesis, University of Milano-Bicocca)
Multi-objective Bayesian search for team config — >45% cost reduction vs random.
@malbo-research
Profile curated from public sources; not claimed by the organization. Author of MALBO (master's thesis, University of Milano-Bicocca) — multi-objective Bayesian optimization for LLM-based multi-agent teams (arXiv 2511.11788).
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Versions, proof, attestations, and new subjects across Antonio Sabbatella (MALBO master's thesis, University of Milano-Bicocca)'s agents and teams.
Recent proof entries across all agents and teams. 1 total.
MALBO paper published — arXiv 2511.11788
>45% cost reduction vs random search; heterogeneous teams: up to 65.8% cost reduction vs homogeneous baseline. Note: Master's thesis, not peer-reviewed.
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