A New Natural Policy Gradient by Stationary Distribution Metric. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Kenji Doya (ECML/PKDD (2), 2008)

Natural actor-critic with baseline adjustment for variance reduction. - Tetsuro Morimura; Eiji Uchibe; Kenji Doya (Artif. Life Robotics, 2008)

Least absolute policy iteration for robust value function approximation. - Masashi Sugiyama; Hirotaka Hachiya; Hisashi Kashima; Tetsuro Morimura (ICRA, 2009)

A Generalized Natural Actor-Critic Algorithm. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Kenji Doya (NIPS, 2009)

Nonparametric Return Distribution Approximation for Reinforcement Learning. - Tetsuro Morimura; Masashi Sugiyama; Hisashi Kashima; Hirotaka Hachiya; Toshiyuki Tanaka (ICML, 2010)

Parametric Return Density Estimation for Reinforcement Learning. - Tetsuro Morimura; Masashi Sugiyama; Hisashi Kashima; Hirotaka Hachiya; Toshiyuki Tanaka (UAI, 2010)

Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation. - Masashi Sugiyama; Hirotaka Hachiya; Hisashi Kashima; Tetsuro Morimura (IEICE Trans. Inf. Syst., 2010)

Adaptive Step-size Policy Gradients with Average Reward Metric. - Takamitsu Matsubara; Tetsuro Morimura; Jun Morimoto (ACML, 2010)

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning. - Tetsuro Morimura; Eiji Uchibe; Junichiro Yoshimoto; Jan Peters 001; Kenji Doya (Neural Comput., 2010)

Time-Consistency of Optimization Problems. - Takayuki Osogami; Tetsuro Morimura (AAAI, 2012)

Temporal feature selection for time-series prediction. - Shohei Hido; Tetsuro Morimura (ICPR, 2012)

Statistical Origin-destination generation with multiple sources. - Tetsuro Morimura; Sei Kato (ICPR, 2012)

Map matching with Hidden Markov Model on sampled road network. - Rudy Raymond; Tetsuro Morimura; Takayuki Osogami; Noriaki Hirosue (ICPR, 2012)

Large-Scale Nonparametric Estimation of Vehicle Travel Time Distributions. - Rikiya Takahashi; Takayuki Osogami; Tetsuro Morimura (SDM, 2012)

Solving inverse problem of Markov chain with partial observations. - Tetsuro Morimura; Takayuki Osogami; Tsuyoshi Idé (NIPS, 2013)

Mixing-Time Regularized Policy Gradient. - Tetsuro Morimura; Takayuki Osogami; Tomoyuki Shirai (AAAI, 2014)

Probabilistic Two-Level Anomaly Detection for Correlated Systems. - Bin Tong; Tetsuro Morimura; Einoshin Suzuki; Tsuyoshi Idé (ECAI, 2014)

Predicting halfway through simulation: early scenario evaluation using intermediate features of agent-based simulations. - Satoshi Hara 001; Rudy Raymond; Tetsuro Morimura; Hidemasa Muta (WSC, 2014)

Frugal signal control using low resolution web-camera and traffic flow estimation. - Kumiko Maeda; Tetsuro Morimura; Takayuki Katsuki; Masayoshi Teraguchi (WSC, 2014)

A multi-objective genetic algorithm using intermediate features of simulations. - Hidemasa Muta; Rudy Raymond; Satoshi Hara 001; Tetsuro Morimura (WSC, 2014)

A Consistent Method for Graph Based Anomaly Localization. - Satoshi Hara 001; Tetsuro Morimura; Toshihiro Takahashi; Hiroki Yanagisawa; Taiji Suzuki (AISTATS, 2015)

Predicting Preference Reversals via Gaussian Process Uncertainty Aversion. - Rikiya Takahashi; Tetsuro Morimura (AISTATS, 2015)

Unsupervised object counting without object recognition. - Takayuki Katsuki; Tetsuro Morimura; Tsuyoshi Idé (ICPR, 2016)

Automated help system for novice older users from touchscreen gestures. - Daisuke Sato 001; Tetsuro Morimura; Takayuki Katsuki; Yosuke Toyota; Tsuneo Kato; Hironobu Takagi (ICPR, 2016)

Weight Features for Predicting Future Model Performance of Deep Neural Networks. - Yasunori Yamada; Tetsuro Morimura (IJCAI, 2016)

City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras. - Tsuyoshi Idé; Takayuki Katsuki; Tetsuro Morimura; Robert J. T. Morris (IEEE Trans. Intell. Transp. Syst., 2017)

Traffic Velocity Estimation From Vehicle Count Sequences. - Takayuki Katsuki; Tetsuro Morimura; Masato Inoue (IEEE Trans. Intell. Transp. Syst., 2017)

Sampler for Composition Ratio by Markov Chain Monte Carlo. - Yachiko Obara; Tetsuro Morimura; Hiroki Yanagisawa (CoRR, 2019)

Visual analytics for team-based invasion sports with significant events and Markov reward process. - Kun Zhao 004; Takayuki Osogami; Tetsuro Morimura (CoRR, 2019)

Policy Gradient Algorithms with Monte-Carlo Tree Search for Non-Markov Decision Processes. - Tetsuro Morimura; Kazuhiro Ota; Kenshi Abe; Peinan Zhang (CoRR, 2022)

Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative. - Sho Shimoyama; Tetsuro Morimura; Kenshi Abe; Toda Takamichi; Yuta Tomomatsu; Masakazu Sugiyama; Asahi Hentona; Yuuki Azuma; Hirotaka Ninomiya (CoRR, 2023)

On the Depth between Beam Search and Exhaustive Search for Text Generation. - Yuu Jinnai; Tetsuro Morimura; Ukyo Honda (CoRR, 2023)

Model-Based Minimum Bayes Risk Decoding. - Yuu Jinnai; Tetsuro Morimura; Ukyo Honda; Kaito Ariu; Kenshi Abe (CoRR, 2023)

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding. - Yuu Jinnai; Ukyo Honda; Tetsuro Morimura; Peinan Zhang (ACL (Findings), 2024)

Filtered Direct Preference Optimization. - Tetsuro Morimura; Mitsuki Sakamoto; Yuu Jinnai; Kenshi Abe; Kaito Ariu (EMNLP, 2024)

Safe Collaborative Filtering. - Riku Togashi; Tatsushi Oka; Naoto Ohsaka; Tetsuro Morimura (ICLR, 2024)

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

On the True Distribution Approximation of Minimum Bayes-Risk Decoding. - Atsumoto Ohashi; Ukyo Honda; Tetsuro Morimura; Yuu Jinnai (NAACL (Short Papers), 2024)

Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation. - Hao Wang; Tetsuro Morimura; Ukyo Honda; Daisuke Kawahara (NAACL (Student Research Workshop), 2024)

Policy Gradient Algorithms with Monte Carlo Tree Learning for Non-Markov Decision Processes. - Tetsuro Morimura; Kazuhiro Ota; Kenshi Abe; Peinan Zhang (RLJ, 2024)

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

Policy Gradient with Kernel Quadrature. - Satoshi Hayakawa; Tetsuro Morimura (Trans. Mach. Learn. Res., 2024)

Theoretical Guarantees for Minimum Bayes Risk Decoding. - Yuki Ichihara; Yuu Jinnai; Kaito Ariu; Tetsuro Morimura; Eiji Uchibe (ACL (1), 2025)

Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment. - Yuu Jinnai; Tetsuro Morimura; Kaito Ariu; Kenshi Abe (NAACL (Long Papers), 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 (Trans. Mach. Learn. Res., 2025)

Return-Aligned Decision Transformer. - Tsunehiko Tanaka; Kenshi Abe; Kaito Ariu; Tetsuro Morimura; Edgar Simo-Serra (Trans. Mach. Learn. Res., 2025)