Research map / Multi-agent systems and games / Games and equilibria
Multi-View Decision Processes: The Helper-AI Problem
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| AI plans for the human's true model (PURE/MIXED/STAT) instead of assuming the human is correct (NAIVE) | AI policy · Multilane highway and Food and shelter | utility | Helped |
| Use HUMAN (adopt the human's wrong model) instead of NAIVE at low intervention cost | NAIVE · Both domains, low cost | utility | Helped |
| Increase intervention cost | PURE/MIXED/STAT/NAIVE · Cost sweep | utility | Helped |
| Increase intervention cost | HUMAN · Cost sweep | utility | No clear effect |
| Increase human model error | all scenarios · Error sweep | utility | Hurt |
| Allow stochastic policies (MIXED vs PURE) (ablation) | AI policy · Both domains | utility | Helped |
| Use stationary STAT policy instead of time-dependent PURE (ablation) | PURE · Both domains | utility | No clear effect |
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