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researcher

Toshitaka Matsuki

5 papers hereh-index 553 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author2
  • last author1

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.NE1
  • cs.RO1
same name
  • Toshitaka Matsuki — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202026
most citedSensitivity - Local Index to Control Chaoticity or Gradient Globally -

7 citations · 9 across the 5 of their papers we have counts for

collaborators
Showing 2022Show all

1 paper · 1 filter

cs.LG2022

Deep Q-network using reservoir computing with multi-layered readout

Toshitaka Matsuki

Recurrent neural network (RNN) based reinforcement learning (RL) is used for learning context-dependent tasks and has also attracted attention as a method with remarkable learning…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.