Analysis for Adaptability of Policy-Improving System with a Mixture Model of Bayesian Networks to Dynamic Environments von Kitakoshi, Daisuke, Shioya, Hiroyuki, Nakano, Ryohei

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Yet faster method to optimize SVR hyperparameters based on minimizing cross-validation error von Kobayashi, K., Kitakoshi, D., Nakano, R.

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A reinforcement learning system by using a mixture model of Bayesian network von Kitakoshi, D., Shioya, H., Kurihara, M.

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A reinforcement learning method to improve the sweeping efficiency for an agent von Ohsaka, N., Kitakoshi, D., Suzuki, M.

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A probabilistic reasoning algorithm for Bayesian networks by simplifying their structures von Kitakoshi, D., Wakasaki, S., Suzuki, M.

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A study on Reinforcement Learning system for agents to acquire cooperative behavior in gap-widening situations von Kitakoshi, D., Miyauchi, R., Suzuki, M.

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A Policy-Improving System with a Mixture of Bayesian Networks Adapting Agents to Continuously Changing Environments von Kitakoshi, D., Shioya, H., Nakano, R.

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Revised Optimizer of SVR Hyperparameters Minimizing Cross-Validation Error von Karasuyama, M., Kitakoshi, D., Nakano, R.

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