452 citations · 907 across the 16 of their papers we have counts for
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cs.AI2022★ 1 cited
Simplex Neural Population Learning: Any-Mixture Bayes-Optimality in Symmetric Zero-sum Games
Siqi Liu, Marc Lanctot, Luke Marris +1
Learning to play optimally against any mixture over a diverse set of strategies is of important practical interests in competitive games. In this paper, we propose simplex-NeuPL th…
cs.AI2022★ 1 cited
NeuPL: Neural Population Learning
Siqi Liu, Luke Marris, Daniel Hennes +3
Learning in strategy games (e.g. StarCraft, poker) requires the discovery of diverse policies. This is often achieved by iteratively training new policies against existing ones, gr…