David Abel

Many popular cooperative MARL benchmarks don't actually require sophisticated reasoning about hidden states or robust coordination, as simple reactive policies often perform just as well.

Naive fairness objectives in multi-agent reinforcement learning can backfire in asymmetric social dilemmas, but a few simple tweaks can restore cooperation.