Author

Mark Bedaywi

2 papers indexed here

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Preprint Aug 2026

Computationally Efficient Collaborative Communication Via Regularity-Based Coarsening

The results strictly weaken the assumptions required by prior work in the multi-agent information aggregation literature, filling a gap that had remained elusive even for games with constant $CC_\alpha(G)$.

Mark Bedaywi, Scott Emmons, Nika Haghtalab et al. · 0 citations

Jul 2026

Provably Optimal Learning Algorithms for Assistance Games

The notion of assistance regret is introduced: the gap between the cumulative utility of interactions and that of the optimal joint policies in hindsight, which map latent states to action pairs, is introduced.

Nivasini Ananthakrishnan, Mark Bedaywi, Michael I. Jordan et al. · arXiv.org · 0 citations