Optimal last-iterate convergence in matrix games with bandit feedback using the log-barrier
Researchers prove that log-barrier regularization achieves optimal last-iterate convergence in zero-sum matrix games with bandit feedback, matching a recently established lower bound of Omega(t^{-1/4}) and extending the result to extensive-form games.
MentionsFiegel et al. · log-barrier regularization
Read full story at arXiv cs.LG →(arxiv.org)
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