Publications
Research Areas :
Reconnaissance for Reinforcement Learning with Safety Constraints
ECML2021
By : Shin-ichi Maeda, Hayato Watahiki, Yi Ouyang, Shintarou Okada, Masanori Koyama, Prabhat Nagarajan
Periodic Intra-Ensemble Knowledge Distillation for Reinforcement Learning
ECML 2021
By : Zhang-Wei Hong, Prabhat Nagarajan, Guilherme Maeda
ChainerRL: A Deep Reinforcement Learning Library
JMLR 2021
By : Yasuhiro Fujita, Prabhat Nagarajan, Toshiki Kataoka, Takahiro Ishikawa
MANGA: Method Agnostic Neural-policy Generalization and Adaptation
ICRA 2020
By : Homanga Bharadhwaj, Shoichiro Yamaguchi, Shin-ichi Maeda
Behaviorally Diverse Traffic Simulation via Reinforcement Learning
IROS 2020
By : Shinya Shiroshita, Shirou Maruyama, Daisuke Nishiyama, Mario Castro, Karim Hamzaoui, Guy Rosman, Jonathan DeCastro, Kuan-Hui Lee, Adrien Gaidon
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators
IROS 2020
By : Yasuhiro Fujita, Kota Uenishi, Avinash Ummadisingu, Prabhat Nagarajan, Shimpei Masuda, Mario Castro
Model-Based Reinforcement Learning via Meta-Policy Optimization
CoRL 2018
Machine Learning / Deep Learning
By : Ignasi Clavera, Jonas Rothfuss, John Schulman, Yasuhiro Fujita, Tamim Asfour, Pieter Abbeel
Toward Onboard Control System for Mobile Robots via Deep Reinforcement Learning
Deep Reinforcement Learning Workshop at NeurIPS 2018
By : Megumi Miyashita, Shirou Maruyama, Yasuhiro Fujita, Mitsuru Kusumoto, Tobias Pfeiffer, Eiichi Matsumoto, Ryosuke Okuta, Daisuke Okanohara
共立出版 Algorithms for Reinforcement Learningの翻訳本
By : Shin-ichi Maeda, Yasuhiro Fujita, 他