Daiki Kuyoshi

According to our database, Daiki Kuyoshi authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Extrinsicaly Rewarded Soft Q Imitation Learning with Discriminator.

Ryoma Furuyama, Daiki Kuyoshi, Satoshi Yamane

CoRR, 2024

2022

Single and Ensemble CNN Models with Out-Category Penalty for Image Classification.

Yuta Suzuki, Daiki Kuyoshi, Satoshi Yamane

Int. J. Netw. Comput., 2022

2021

An Image Classification Model that Learns Image Features and Numerical Information.

Yuta Suzuki, Toshiki Hatano, Toi Tsuneda, Daiki Kuyoshi, Satoshi Yamane

Int. J. Netw. Comput., 2021

Single and Ensemble CNN Models with Out-Category Penalty in Cifar 10.

Yuta Suzuki, Daiki Kuyoshi, Satoshi Yamane

Proceedings of the Ninth International Symposium on Computing and Networking, 2021

A Classifier for Reducing Numerical Errors using Ensemble Method.

Yuta Suzuki, Toi Tsuneda, Daiki Kuyoshi, Satoshi Yamane

Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

Proposal of Ephemeral Value Adjustment with Dimensionality Reduction in Deep Reinforcement Learning.

Daiki Kuyoshi, Yuta Suzuki, Satoshi Yamane

Proceedings of the 10th IEEE Global Conference on Consumer Electronics, 2021

2020

Q-learning in Continuous Action Space by Extending EVA.

Toi Tsuneda, Daiki Kuyoshi, Satoshi Yamane

Proceedings of the Eighth International Symposium on Computing and Networking Workshops, 2020

Efficient Exploration by Decision Making Considering Curiosity and Episodic Memory in Deep Reinforcement Learning.

Daiki Kuyoshi, Kuniyasu Imade, Satoshi Yamane

Proceedings of the Eighth International Symposium on Computing and Networking Workshops, 2020

Discriminator Soft Actor Critic without Extrinsic Rewards.

Daichi Nishio, Toi Tsuneda, Daiki Kuyoshi, Satoshi Yamane

Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020

Rainbow with Episodic Memory in Deep Reinforcement Learning.

Daiki Kuyoshi, Toi Tsuneda, Satoshi Yamane

Proceedings of the 9th IEEE Global Conference on Consumer Electronics, 2020