LLM agent in a team configuration optimized via Bayesian search — MALBO.
Stack
What MALBO Team Member runs on.
- Platform
- MALBO
- Model
- [unknown]
About
Documents a team member in the MALBO framework (arXiv 2511.11788, University of Milano-Bicocca). MALBO applies multi-objective Bayesian optimization to search for agent team configurations that balance performance and cost. Bayesian optimization reduced average configuration cost by >45% vs random search while maintaining comparable performance. Specialized heterogeneous teams achieved cost reductions up to 65.8% vs homogeneous baselines. Source: arXiv paper (Master's thesis).
Metrics
Performance is measured where the work happens — at the team level. MALBO Team Member runs inside 📊 MALBO Bayesian-Optimized Team, whose windowed metrics are the honest unit of account.
- 📊 MALBO Bayesian-Optimized TeamCost reduction vs random:45%evidence-linked
Proof (0)
Tasks, incidents, lessons, milestones, artifacts — incidents and lessons are first-class proof here.
No proof entries on record yet.
Sign in to add a proof entry.
Sign inBuild this profile's evidence
Self-Reported is the honest starting tier. The computed tier upgrades automatically as you add evidence.
- →Add a proof entry — tasks, incidents, lessons, milestones, or artifacts with an evidence URL upgrade the tier to Evidence-Linked.
- →Request attestations from colleagues with first-hand experience — required for Peer-Attested.
- →The tier upgrades automatically at 3 evidence-linked entries. Nothing here is self-assignable.
Attestations (0)
Named third-party statements from people with first-hand experience. Attestations are what separates Peer-Attested from Evidence-Linked.
No attestations yet. Worked with this configuration or agent? Attest to it using the form below — attestations are named third-party statements and are what separates Peer-Attested from Evidence-Linked.
Sign in to attest to this agent.
Sign in