Yasuhiro Fujita

17 papers A* 3A 1Misc 1Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Experience Replay with Random Reshuffling. CoRR Yasuhiro Fujita
2025	J	`jnl`	PLaMo 2 Technical Report. CoRR Kaizaburo Chubachi, Yasuhiro Fujita, Shinichi Hemmi, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Goro Kobayashi, Kenichi Maehashi, Calvin Metzger, Hiroaki Mikami, Shogo Murai, Daisuke Nishino, Kento Nozawa, Toru Ogawa, Shintarou Okada, Daisuke Okanohara, Shunta Saito, Shotaro Sano, Shuji Suzuki, Kuniyuki Takahashi, Daisuke Tanaka, Avinash Ummadisingu, Hanqin Wang, Sixue Wang, Tianqi Xu
2024	J	`jnl`	Entropy Controllable Direct Preference Optimization. CoRR Motoki Omura, Yasuhiro Fujita, Toshiki Kataoka
2024	J	`jnl`	PLaMo-100B: A Ground-Up Language Model Designed for Japanese Proficiency. CoRR Kenshin Abe, Kaizaburo Chubachi, Yasuhiro Fujita, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Hiroyoshi Komatsu, Hiroaki Mikami, Tsuguo Mogami, Shogo Murai, Kosuke Nakago, Daisuke Nishino, Toru Ogawa, Daisuke Okanohara, Yoshihiko Ozaki, Shotaro Sano, Shuji Suzuki, Tianqi Xu, Toshihiko Yanase
2022	A*	`conf`	Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis. CVPR Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto
2022	J	`jnl`	Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis. CoRR Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto
2021	J	`jnl`	ChainerRL: A Deep Reinforcement Learning Library. J. Mach. Learn. Res. Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka, Takahiro Ishikawa
2020	A	`conf`	Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. IROS Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro
2020	J	`jnl`	Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators. CoRR Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Ynocente Castro
2019	J	`jnl`	A Differentiable Gaussian-like Distribution on Hyperbolic Space for Gradient-Based Learning. CoRR Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama
2019	A*	`conf`	A Wrapped Normal Distribution on Hyperbolic Space for Gradient-Based Learning. ICML Yoshihiro Nagano, Shoichiro Yamaguchi, Yasuhiro Fujita, Masanori Koyama
2019	J	`jnl`	ChainerRL: A Deep Reinforcement Learning Library. CoRR Yasuhiro Fujita, Toshiki Kataoka, Prabhat Nagarajan, Takahiro Ishikawa
2019	J	`jnl`	Learning Latent State Spaces for Planning through Reward Prediction. CoRR Aaron J. Havens, Yi Ouyang, Prabhat Nagarajan, Yasuhiro Fujita
2018	A*	`conf`	Clipped Action Policy Gradient. ICML Yasuhiro Fujita, Shin-ichi Maeda
2018	J	`jnl`	Clipped Action Policy Gradient. CoRR Yasuhiro Fujita, Shin-ichi Maeda
2018	Misc	`conf`	Model-Based Reinforcement Learning via Meta-Policy Optimization. CoRL Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel
2018	J	`jnl`	Model-Based Reinforcement Learning via Meta-Policy Optimization. CoRR Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel