Rainbow with Episodic Memory in Deep Reinforcement Learning. - Daiki Kuyoshi; Toi Tsuneda; Satoshi Yamane (GCCE, 2020)

Discriminator Soft Actor Critic without Extrinsic Rewards. - Daichi Nishio; Toi Tsuneda; Daiki Kuyoshi; Satoshi Yamane (GCCE, 2020)

Image Classification with Additional Non-decision Labels using Self-supervised learning and GAN. - Toshiki Hatano; Toi Tsuneda; Yuta Suzuki; Kousuke Shintani; Satoshi Yamane (CANDAR (Workshops), 2020)

An Image Classification Model that Learns MNIST Image Features and Numerical Information. - Yuta Suzuki; Toshiki Hatano; Toi Tsuneda; Satoshi Yamane (CANDAR (Workshops), 2020)

Q-learning in Continuous Action Space by Extending EVA. - Toi Tsuneda; Daiki Kuyoshi; Satoshi Yamane (CANDAR (Workshops), 2020)

Towards robust and domain agnostic reinforcement learning competitions: MineRL 2020. - William Hebgen Guss; Stephanie Milani; Nicholay Topin; Brandon Houghton; Sharada P. Mohanty; Andrew Melnik; Augustin Harter; Benoit Buschmaas; Bjarne Jaster; Christoph Berganski; Dennis Heitkamp; Marko Henning; et al. (NeurIPS (Competition and Demos), 2020)

Accelerating Model Validation by Reconstructing Image Sets Using GAN. - Toshiki Hatano; Taro Kiriyama; Toi Tsuneda; Satoshi Yamane (CSCI, 2021)

A study of DQN using VisionTransformer as an image extractor. - Toshiki Hatano; Toi Tsuneda; Satoshi Yamane (GCCE, 2021)

A Classifier for Reducing Numerical Errors using Ensemble Method. - Yuta Suzuki; Toi Tsuneda; Daiki Kuyoshi; Satoshi Yamane (GCCE, 2021)

Enhanced EVA with Threshold Limit of Similarity. - Toi Tsuneda; Kuniyasu Imade; Kousuke Shintani; Satoshi Yamane (GCCE, 2021)

Loss Function of GAN to Make a Clear Judgment. - Kuniyasu Imade; Toi Tsuneda; Satoshi Yamane; Kousuke Shintani; Taro Kiriyama (CANDAR (Workshops), 2021)

GANs with Suppressed Mode Collapse Using Intrinsic Rewards. - Toi Tsuneda; Taro Kiriyama; Kousuke Shintani; Satoshi Yamane (CANDAR (Workshops), 2021)

GBDT Modeling of Deep Reinforcement Learning Agents Using Distillation. - Toshiki Hatano; Toi Tsuneda; Yuta Suzuki; Kuniyasu Imade; Kazuki Shesimo; Satoshi Yamane (ICM, 2021)

Towards robust and domain agnostic reinforcement learning competitions. - William Hebgen Guss; Stephanie Milani; Nicholay Topin; Brandon Houghton; Sharada P. Mohanty; Andrew Melnik; Augustin Harter; Benoit Buschmaas; Bjarne Jaster; Christoph Berganski; Dennis Heitkamp; Marko Henning; et al. (CoRR, 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)

Combined Constraint on Behavior Cloning and Discriminator in Offline Reinforcement Learning. - Shunya Kidera; Kosuke Shintani; Toi Tsuneda; Satoshi Yamane (IEEE Access, 2024)