Atsushi Iwasaki
9 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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Conference Polyglot Β· Silver
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Academic Marathon Β· Sprint
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Interdisciplinary Bridge Β· Gold
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Taxonomy Completionist
(17)
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Research topics
Keywords
game theory
(3)
zero-sum game
(3)
nash equilibrium
(3)
last-iterate convergence
(2)
payoff perturbation
(2)
stable matching
(2)
bandit feedback
(1)
dual averaging
(1)
continuous optimization
(1)
multi-armed bandit
(1)
optimization algorithm
(1)
convergence guarantee
(1)
markov game
(1)
monte carlo tree search
(1)
nash social welfare
(1)
additive noise
(1)
repeated game
(1)
first-order method
(1)
duality gap
(1)
mirror descent
(1)
Papers
Approximate State Abstraction for Markov Games
AAAI 2025
Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
ICLR 2025
Adaptively Perturbed Mirror Descent for Learning in Games
ICML 2024
Learning Fair Division from Bandit Feedback
AISTATS 2024
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games
AISTATS 2023
Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search
IJCAI 2022
Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games
UAI 2022
Repeated Multimarket Contact with Private Monitoring: A Belief-Free Approach
AAAI 2020
Near-Feasible Stable Matchings with Budget Constraints
IJCAI 2017