Search Results - Morimura, Tetsuro

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  1. 1
    Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning

    Derivatives of Logarithmic Stationary Distributions for Policy Gradient Reinforcement Learning by Morimura, Tetsuro, Uchibe, Eiji, Yoshimoto, Junichiro, Peters, Jan, Doya, Kenji

    Published in Neural computation
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  2. 2
    Traffic Velocity Estimation From Vehicle Count Sequences

    Traffic Velocity Estimation From Vehicle Count Sequences by Katsuki, Takayuki, Morimura, Tetsuro, Inoue, Masato

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  3. 3
    City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras

    City-Wide Traffic Flow Estimation From a Limited Number of Low-Quality Cameras by Ide, Tsuyoshi, Katsuki, Takayuki, Morimura, Tetsuro, Morris, Robert

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  4. 4
    Brain mechanisms for evaluating probabilistic and delayed rewards

    Brain mechanisms for evaluating probabilistic and delayed rewards by Yoshida, Takehiko, Ito, Makoto, Morimura, Tetsuro, Samejima, Kazuyuki, Okuda, Jiro, Yoshimoto, Junichiro, Doya, Kenji

    Published in Neuroscience research
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  5. 5
    Map matching with Hidden Markov Model on sampled road network

    Map matching with Hidden Markov Model on sampled road network by Raymond, R., Morimura, T., Osogami, T., Hirosue, N.

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  6. 6
    Time-Consistency of Optimization Problems

    Time-Consistency of Optimization Problems by Osogami, Takayuki, Morimura, Tetsuro

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  7. 7
    Predicting halfway through simulation: Early scenario evaluation using intermediate features of agent-based simulations

    Predicting halfway through simulation: Early scenario evaluation using intermediate features of agent-based simulations by Hara, Satoshi, Raymond, Rudy, Morimura, Tetsuro, Muta, Hidemasa

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  8. 8
    Statistical Origin-destination generation with multiple sources

    Statistical Origin-destination generation with multiple sources by Morimura, T., Kato, S.

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  9. 9
    A multi-objective genetic algorithm using intermediate features of simulations

    A multi-objective genetic algorithm using intermediate features of simulations by Muta, Hidemasa, Raymond, Rudy, Hara, Satoshi, Morimura, Tetsuro

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  10. 10
    Frugal signal control using low resolution web-camera and traffic flow estimation

    Frugal signal control using low resolution web-camera and traffic flow estimation by Maeda, Kumiko, Morimura, Tetsuro, Katsuki, Takayuki, Teraguchi, Masayoshi

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  11. 11
    Policy Gradient with Kernel Quadrature

    Policy Gradient with Kernel Quadrature by Hayakawa, Satoshi, Morimura, Tetsuro

    Published in arXiv.org
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  12. 12
    Temporal feature selection for time-series prediction

    Temporal feature selection for time-series prediction by Hido, S., Morimura, T.

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  13. 13
    Natural actor-critic with baseline adjustment for variance reduction

    Natural actor-critic with baseline adjustment for variance reduction by Morimura, Tetsuro, Uchibe, Eiji, Doya, Kenji

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  14. 14
    Filtered Direct Preference Optimization

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

    Published in arXiv.org
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  15. 15
    Mean-Variance Efficient Reinforcement Learning with Applications to Dynamic Financial Investment

    Mean-Variance Efficient Reinforcement Learning with Applications to Dynamic Financial Investment by Kato, Masahiro, Nakagawa, Kei, Abe, Kenshi, Morimura, Tetsuro, Baba, Kentaro

    Published in arXiv.org
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  16. 16
    Policy Gradient Algorithms with Monte Carlo Tree Learning for Non-Markov Decision Processes

    Policy Gradient Algorithms with Monte Carlo Tree Learning for Non-Markov Decision Processes by Morimura, Tetsuro, Ota, Kazuhiro, Abe, Kenshi, Zhang, Peinan

    Published in arXiv.org
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  17. 17
    Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation

    Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation by Wang, Hao, Morimura, Tetsuro, Honda, Ukyo, Kawahara, Daisuke

    Published in arXiv.org
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  18. 18
    Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment

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

    Published in arXiv.org
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  19. 19
    Model-Based Minimum Bayes Risk Decoding for Text Generation

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

    Published in arXiv.org
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  20. 20
    Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding

    Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding by Jinnai, Yuu, Honda, Ukyo, Morimura, Tetsuro, Zhang, Peinan

    Published in arXiv.org
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