Neural mechanisms of hierarchical planning in a virtual subway network
Planning allows actions to be structured in pursuit of a future goal. However, in natural environments, planning over multiple possible future states incurs prohibitive computational costs. To represent plans efficiently, states can be clustered hierarchically into "contexts". For example,...
主要な著者: | Balaguer, J, Spiers, H, Hassabis, D, Summerfield, C |
---|---|
フォーマット: | Journal article |
言語: | English |
出版事項: |
Cell Press
2016
|
類似資料
-
Optimizing Subway Train Operation With Hierarchical Adaptive Control Approach
著者:: Gaoyun Cheng, 等
出版事項: (2023-01-01) -
Neural network models of hierarchical map-based planning in the brain
著者:: Jordan, H
出版事項: (2018) -
Complex network characteristics of the planned subway station network in Hangzhou (2005-2022)
著者:: Fang Wu, 等
出版事項: (2020-01-01) -
Hybrid models of subway passenger flow prediction based on convolutional neural network
著者:: Yuan‐wen Lai, 等
出版事項: (2023-04-01) -
The Path Planning of Mobile Robot by Neural Networks and Hierarchical Reinforcement Learning
著者:: Jinglun Yu, 等
出版事項: (2020-10-01)