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Toshitaka Matsuki
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2020 – today
- 2024
- [i4]Toshitaka Matsuki, Yusuke Sakemi, Kazuyuki Aihara:
Chaos-based reinforcement learning with TD3. CoRR abs/2405.09086 (2024) - 2023
- [c4]Takao Sato, Yuta Sakai, Natsuki Kawaguchi, Masayoshi Hara, Toshitaka Matsuki, Masanori Takahashi, Orlando Arrieta, Ramón Vilanova:
Data-driven Response Estimation-based Tuning and its Validation Using a Ball-and-Beam System. ETFA 2023: 1-7 - [i3]Yusuke Sakemi, Sou Nobukawa, Toshitaka Matsuki, Takashi Morie, Kazuyuki Aihara:
Learning Reservoir Dynamics with Temporal Self-Modulation. CoRR abs/2301.09235 (2023) - 2022
- [i2]Toshitaka Matsuki:
Deep Q-network using reservoir computing with multi-layered readout. CoRR abs/2203.01465 (2022) - 2021
- [j2]Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki:
Sensitivity - Local index to control chaoticity or gradient globally -. Neural Networks 143: 436-451 (2021) - 2020
- [j1]Toshitaka Matsuki, Katsunari Shibata:
Adaptive balancing of exploration and exploitation around the edge of chaos in internal-chaos-based learning. Neural Networks 132: 19-29 (2020) - [c3]Toshitaka Matsuki, Souya Inoue, Katsunari Shibata:
Q-learning with exploration driven by internal dynamics in chaotic neural network. IJCNN 2020: 1-7 - [i1]Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki:
Sensitivity - Local Index to Control Chaoticity or Gradient Globally. CoRR abs/2012.13134 (2020)
2010 – 2019
- 2017
- [c2]Toshitaka Matsuki, Katsunari Shibata:
Reinforcement Learning of a Memory Task Using an Echo State Network with Multi-layer Readout. RiTA 2017: 17-26 - 2016
- [c1]Toshitaka Matsuki, Katsunari Shibata:
Reward-Based Learning of a Memory-Required Task Based on the Internal Dynamics of a Chaotic Neural Network. ICONIP (1) 2016: 376-383
Coauthor Index
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