Search Results for author: Yuki Goto

Found 2 papers, 0 papers with code

New Reinforcement Learning Using a Chaotic Neural Network for Emergence of "Thinking" - "Exploration" Grows into "Thinking" through Learning -

no code implementations16 May 2017 Katsunari Shibata, Yuki Goto

It is expected that if rational dynamics are learned in a chaotic neural network (ChNN), coexistence of rational state transition, inspiration-like state transition and also random-like exploration for unknown situation can be realized.

reinforcement-learning Reinforcement Learning (RL)

An Architecture for Autonomously Controlling Robot with Embodiment in Real World

no code implementations26 Jul 2013 Megumi Fujita, Yuki Goto, Naoyuki Nide, Ken Satoh, Hiroshi Hosobe

In the real world, robots with embodiment face various issues such as dynamic continuous changes of the environment and input/output disturbances.

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