Research map / Multi-agent systems and games / Games and equilibria
Generalization in Mean Field Games by Learning Master Policies
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Condition the policy on the current population distribution | Master policy · Beach bar 2D | exploitability | Helped |
| Condition the policy on the current population distribution | Master policy · Beach bar 2D | Wasserstein distance | Helped |
| Train a population-dependent policy on Gaussian initial distributions | Master policy · Pure exploration 1D, random and Gaussian test distributions | exploitability | Helped |
| Train a population-dependent policy on Gaussian initial distributions | Master policy · Pure exploration 1D, random and Gaussian test distributions | Wasserstein distance | Helped |
| Use a flat histogram representation instead of a convolutional distribution embedding (ablation) | Population-dependent policy · Beach bar 2D | policy performance | Hurt |
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