Masakazu Tadokoro

According to our database, Masakazu Tadokoro authored at least 6 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Misclassification detection based on conditional VAE for rule evolution in learning classifier system.

Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

XCS with Weight-based Matching in VAE Latent Space and Additional Learning of High-Dimensional Data.

Masakazu Tadokoro, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System.

Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Cooperative Multi-agent Inverse Reinforcement Learning Based on Selfish Expert and its Behavior Archives.

Yukiko Fukumoto, Masakazu Tadokoro, Keiki Takadama

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Local Covering: Adaptive Rule Generation Method Using Existing Rules for XCS.

Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019

Knowledge Extraction from XCSR Based on Dimensionality Reduction and Deep Generative Models.

Masakazu Tadokoro, Satoshi Hasegawa, Takato Tatsumi, Hiroyuki Sato, Keiki Takadama

Proceedings of the IEEE Congress on Evolutionary Computation, 2019