Abe, Kenshi

19 publications

AAAI 2025 Approximate State Abstraction for Markov Games Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki

ICLR 2025 Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki

TMLR 2025 Evaluation of Best-of-N Sampling Strategies for Language Model Alignment Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Eiji Uchibe

NeurIPS 2025 Last Iterate Convergence in Monotone Mean Field Games Noboru Isobe, Kenshi Abe, Kaito Ariu

NeurIPS 2025 Learning from Delayed Feedback in Games via Extra Prediction Yuma Fujimoto, Kenshi Abe, Kaito Ariu

TMLR 2025 Return-Aligned Decision Transformer Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra

AAAI 2025 Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium Yuma Fujimoto, Kaito Ariu, Kenshi Abe

ICML 2024 Adaptively Perturbed Mirror Descent for Learning in Games Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Atsushi Iwasaki

ICMLW 2024 Filtered Direct Preference Optimization Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu

AISTATS 2024 Learning Fair Division from Bandit Feedback Hakuei Yamada, Junpei Komiyama, Kenshi Abe, Atsushi Iwasaki

AAAI 2024 Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games Yuma Fujimoto, Kaito Ariu, Kenshi Abe

ICML 2024 Model-Based Minimum Bayes Risk Decoding for Text Generation Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe

ICMLW 2024 Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe

AISTATS 2023 Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki

IJCAI 2023 Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium Yuma Fujimoto, Kaito Ariu, Kenshi Abe

IJCAI 2022 Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search Kenshi Abe, Junpei Komiyama, Atsushi Iwasaki

UAI 2022 Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games Kenshi Abe, Mitsuki Sakamoto, Atsushi Iwasaki

ICML 2022 Thresholded Lasso Bandit Kaito Ariu, Kenshi Abe, Alexandre Proutiere

NeurIPSW 2021 Mean-Variance Efficient Reinforcement Learning by Expected Quadratic Utility Maximization Masahiro Kato, Kei Nakagawa, Kenshi Abe, Tetsuro Morimura