Web: http://arxiv.org/abs/2203.04098

June 24, 2022, 1:11 a.m. | Timon Willi, Johannes Treutlein, Alistair Letcher, Jakob Foerster

cs.LG updates on arXiv.org arxiv.org

Learning in general-sum games is unstable and frequently leads to socially
undesirable (Pareto-dominated) outcomes. To mitigate this, Learning with
Opponent-Learning Awareness (LOLA) introduced opponent shaping to this setting,
by accounting for each agent's influence on their opponents' anticipated
learning steps. However, the original LOLA formulation (and follow-up work) is
inconsistent because LOLA models other agents as naive learners rather than
LOLA agents. In previous work, this inconsistency was suggested as a cause of
LOLA's failure to preserve stable fixed points …

arxiv consistent learning lg

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