A new distributed algorithm for Meta Tug-of-War games converges to QoS-satisfying equilibria using stochastic updates and infrequent communication.
One for all and all for one: Distributed learning of fair allocations with multi-player bandits,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.GT 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Choose Your Battles: Distributed Learning Over Multiple Tug of War Games
A new distributed algorithm for Meta Tug-of-War games converges to QoS-satisfying equilibria using stochastic updates and infrequent communication.