論文

• Akiyama, T., Hachiya, H., Sugiyama, M.. Efficient exploration through active learning for value function approximation in reinforcement learning., NeuralNetworks, Vol. 23, no. 5, pp. 639-648, 2010.
• Hachiya, H., Akiyama, T., Sugiyama, M., Peters, J.. Adaptive importance sampling for value function approximation in off-policy reinforcement learning., Neural Networks, vol. 22, no. 10, pp. 1399-1410, 2009.

国際会議発表 (査読有り)

• Sugiyama. M., Hachiya, H., Akiyama, T.. Robot control by reinforcement learning: A machine-learning approach., the 9th Control Division Conference, In Proceedings of the Society of Instrument and Control Engineers, no. FC1-3, Mar. 2009.
• Akiyama, T., Hachiya, H., Sugiyama. M.. Statistical active learning for efficient value function approximation in reinforcement learning., Meeting of IEICE Neurocomputing (NC) Technical Group,, IEICE Technical Report, NC2008-147, pp. 261-266, 2009.
• Akiyama, T., Hachiya, H., Sugiyama, M.. Active policy iteration: Efficient exploration through active learning for value function approximation in reinforcement learning., the Twenty-First International Joint Conference on Artificial Intelligence(IJCAI2009), In Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI2009),, pp. 980-985, 2009.
• Hachiya, H., Akiyama, T., Sugiyama, M., Peters, J.. Efficient data reuse in value function approximation., In Proceeding of the 2009 IEEE International Symposium on Adaptive Dynamic Programming and Reinforcement Learning (ADPRL2009), pp. 8-15, 2009.
• Akiyama, T., Hachiya, H., Sugiyama, M.. Efficient exploration through active learning for value function approximation in reinforcement learning., The Fourth International Workshop on Data-Mining and Statistical Science(DMSS2009), Proceeding of The Fourth International Workshop on Data-Mining and Statistical Science(DMSS2009), pp. 1-21, 2009.
• Hachiya, H., Akiyama, T., Sugiyama, M., Peters, J.. Adaptive importance sampling with automatic model selection in value function approximation, the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08), In Proceeding of the Twenty -Third AAAI Conference on Artificial Intelligence(AAAI2008), pp. 1351-1356, 2008.
• Akiyama, T., Hachiya, H., Sugiyama, M.. A new method of model selection for value function approximation in reinforcement learning., the Japanese Society for Artificial Intelligence, In Proceeding of the Japanese Society for Artificial Intelligence,, pp. 55-60, 2008.

国際会議発表 (査読なし・不明)

• Hachiya, H., Akiyama, T., Sugiyama, M.. Adaptive importance sampling with automatic model selection in value function approximation, IEICE Neurocomputing (NC) Technical Group, IEICE Technical Report,NC2007-84,, pp. 75-80, 2007.

国内会議発表 (査読なし・不明)

• 大迫政浩, 松井康弘, 秋山貴, 阿部直也, 原科幸彦. 環境的公正の視点からみた最終処分場と不法投棄の空間分布評価, 第13回廃棄物学会研究発表会, Nov. 2002.

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