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08/13/2022
Recognition of All Categories of Entities by AI
Human-level AI will have significant impacts on human society. However, ...
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07/06/2022
Brain-inspired probabilistic generative model for double articulation analysis of spoken language
The human brain, among its several functions, analyzes the double articu...
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03/15/2021
Whole brain Probabilistic Generative Model toward Realizing Cognitive Architecture for Developmental Robots
Building a humanlike integrative artificial cognitive system, that is, a...
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03/12/2021
Hippocampal formation-inspired probabilistic generative model
We constructed a hippocampal formation (HPF)-inspired probabilistic gene...
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03/06/2021
The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain
The vastness of the design space created by the combination of a large n...
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03/22/2019
Macro Action Reinforcement Learning with Sequence Disentanglement using Variational Autoencoder
One problem in the application of reinforcement learning to real-world p...
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02/22/2019
FAVAE: Sequence Disentanglement using Information Bottleneck Principle
We propose the factorized action variational autoencoder (FAVAE), a stat...
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10/20/2018
Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents
In cooperation, the workers must know how co-workers behave. However, an...
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10/12/2018
