Tetsuro Morimura

发表

A Generalized Natural Actor-Critic Algorithm

Junichiro Yoshimoto, Kenji Doya, Tetsuro Morimura, 2009, NIPS.

A New Natural Policy Gradient by Stationary Distribution Metric

Junichiro Yoshimoto, Kenji Doya, Tetsuro Morimura, 2008, ECML/PKDD.

Policy gradient reinforcement learning with log stationary distribution gradients

K. Doya, Tetsuro Morimura, E. Uchibe, 2007 .

Parametric Return Density Estimation for Reinforcement Learning pdf

Masashi Sugiyama, Hisashi Kashima, Toshiyuki Tanaka, 2010, UAI.

Nonparametric Return Distribution Approximation for Reinforcement Learning

Masashi Sugiyama, Hisashi Kashima, Toshiyuki Tanaka, 2010, ICML.

Frugal signal control using low resolution web-camera and traffic flow estimation

Tetsuro Morimura, Masayoshi Teraguchi, Takayuki Katsuki, 2014, Proceedings of the Winter Simulation Conference 2014.

Monitoring Entire-City Traffic using Low-Resolution Web Cameras

Tetsuro Morimura, Takayuki Katsuki, T. Idé, 2013 .

Automated help system for novice older users from touchscreen gestures

Hironobu Takagi, Daisuke Sato, Tsuneo Kato, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Policy Gradient Algorithms with Monte-Carlo Tree Search for Non-Markov Decision Processes

Tetsuro Morimura, K. Ota, Kenshi Abe, 2022, ArXiv.

Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning

Junichiro Yoshimoto, Jan Peters, Kenji Doya, 2010, Neural Computation.

Predicting halfway through simulation: Early scenario evaluation using intermediate features of agent-based simulations

Satoshi Hara, Raymond H. Putra, Tetsuro Morimura, 2014, Proceedings of the Winter Simulation Conference 2014.

Weight Features for Predicting Future Model Performance of Deep Neural Networks

Tetsuro Morimura, Yasunori Yamada, Tetsuro Morimura, 2016, IJCAI.

Predicting Preference Reversals via Gaussian Process Uncertainty Aversion

Tetsuro Morimura, Rikiya Takahashi, Tetsuro Morimura, 2015, AISTATS.

Large-Scale Nonparametric Estimation of Vehicle Travel Time Distributions

Tetsuro Morimura, Takayuki Osogami, Rikiya Takahashi, 2012, SDM.

Mean-Variance Efficient Reinforcement Learning by Expected Quadratic Utility Maximization

Tetsuro Morimura, Kei Nakagawa, Masahiro Kato, 2020, 2010.01404.

City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras

Tetsuro Morimura, Tsuyoshi Idé, Robert Morris, 2017, IEEE Transactions on Intelligent Transportation Systems.

Adaptive Step-size Policy Gradients with Average Reward Metric

Jun Morimoto, Takamitsu Matsubara, Tetsuro Morimura, 2010, ACML.

Why Guided Dialog Policy Learning performs well? Understanding the role of adversarial learning and its alternative

Tetsuro Morimura, Kenshi Abe, Yuuki Azuma, 2023, ArXiv.

Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation

Masashi Sugiyama, Hisashi Kashima, Tetsuro Morimura, 2010, IEICE Trans. Inf. Syst..

Least absolute policy iteration for robust value function approximation

Masashi Sugiyama, Hisashi Kashima, Tetsuro Morimura, 2009, 2009 IEEE International Conference on Robotics and Automation.

Sampler for Composition Ratio by Markov Chain Monte Carlo pdf

Tetsuro Morimura, Hiroki Yanagisawa, Yachiko Obara, 2019, ArXiv.

Solving inverse problem of Markov chain with partial observations

Tetsuro Morimura, Tsuyoshi Idé, Takayuki Osogami, 2013, NIPS.

Map matching with Hidden Markov Model on sampled road network

Raymond H. Putra, Tetsuro Morimura, Takayuki Osogami, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Probabilistic Two-Level Anomaly Detection for Correlated Systems

Einoshin Suzuki, Tetsuro Morimura, Tsuyoshi Idé, 2014, ECAI.

Safe Collaborative Filtering

Tetsuro Morimura, Tatsushi Oka, Riku Togashi, 2023, ICLR.

Temporal feature selection for time-series prediction

Tetsuro Morimura, Shohei Hido, Tetsuro Morimura, 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

Policy Gradient with Kernel Quadrature

Tetsuro Morimura, Satoshi Hayakawa, 2023, ArXiv.

Visual analytics for team-based invasion sports with significant events and Markov reward process pdf

Kun Zhao, Tetsuro Morimura, Takayuki Osogami, 2019, ArXiv.

Return-Aligned Decision Transformer

Tetsuro Morimura, Kaito Ariu, Kenshi Abe, 2024, 2402.03923.

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding

Tetsuro Morimura, Yuu Jinnai, Ukyo Honda, 2024, ArXiv.