most citedMastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

11 citations · 11 across the 1 of their papers we have counts for

collaborators

1 paper

cs.GT2022★ 11 cited

Mastering the Game of No-Press Diplomacy via Human-Regularized Reinforcement Learning and Planning

Anton Bakhtin, David J Wu, Adam Lerer +5

No-press Diplomacy is a complex strategy game involving both cooperation and competition that has served as a benchmark for multi-agent AI research. While self-play reinforcement l…