Search Results for author: Konatsu Miyamoto

Found 1 papers, 0 papers with code

Convergence of Q-value in case of Gaussian rewards

no code implementations7 Mar 2020 Konatsu Miyamoto, Masaya Suzuki, Yuma Kigami, Kodai Satake

In this paper, as a study of reinforcement learning, we converge the Q function to unbounded rewards such as Gaussian distribution.

reinforcement-learning Reinforcement Learning (RL)

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