Iwasaki, Atsushi
- Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games
2022/08/21 by Kenshi Abe, Abe, Kenshi, Kaito Ariu +7 · 4 citations
Decision Sciences · Social Sciences · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #Experimental Behavioral Economics Studies #FOS: Computer and information sciences #Game Theory and Applications #Machine Learning (cs.LG)
- Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games
2022/06/18 by Abe, Kenshi, Sakamoto, Mitsuki, Iwasaki, Atsushi · 3 citations
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Adaptively Perturbed Mirror Descent for Learning in Games
2023/05/26 by Kenshi Abe, Kaito Ariu, Abe, Kenshi +5 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics #Stochastic Gradient Optimization Techniques
- Deriving the Variance of the Discrete Fourier Transform Test Using Parseval's Theorem
2018/06/27 by Atsushi Iwasaki, Iwasaki, Atsushi · 1 citation
Computer Science · #Advanced Steganography and Watermarking Techniques #Chaos-based Image/Signal Encryption #FOS: Mathematics #Numerical Methods and Algorithms #Statistics Theory (math.ST)
- Learning Fair Division from Bandit Feedback
2023/11/15 by Yamada, Hakuei, Komiyama, Junpei, Abe, Kenshi +1 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On the Power of Perturbation under Sampling in Solving Extensive-Form Games
2025/01/28 by Masaka, Wataru, Sakamoto, Mitsuki, Abe, Kenshi +3 · 1 citation
#Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multiagent Systems (cs.MA)