Rousslan Fernand Julien Dossa

According to our database, Rousslan Fernand Julien Dossa authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A comparison of visual and auditory EEG interfaces for robot multi-stage task control.

Kai Arulkumaran, Marina Di Vincenzo, Rousslan Fernand Julien Dossa, Shogo Akiyama, Dan Ogawa Lillrank, Motoshige Sato, Kenichi Tomeoka, Shuntaro Sasai

Frontiers Robotics AI, 2024

Design and evaluation of a global workspace agent embodied in a realistic multimodal environment.

Rousslan Fernand Julien Dossa, Kai Arulkumaran, Arthur Juliani, Shuntaro Sasai, Ryota Kanai

Frontiers Comput. Neurosci., 2024

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement Learning.

Shengyi Huang, Quentin Gallouédec, Florian Felten, Antonin Raffin, Rousslan Fernand Julien Dossa, Yanxiao Zhao, Ryan Sullivan, Viktor Makoviychuk, Denys Makoviichuk, Mohamad H. Danesh, Cyril Roumégous, Jiayi Weng, Chufan Chen, Md Masudur Rahman, João G. M. Araújo, Guorui Quan, Daniel Tan, Timo Klein, Rujikorn Charakorn, Mark Towers, Yann Berthelot, Kinal Mehta, Dipam Chakraborty, Arjun KG, Valentin Charraut, Chang Ye, Zichen Liu, Lucas N. Alegre, Alexander Nikulin, Xiao Hu, Tianlin Liu, Jongwook Choi, Brent Yi

CoRR, 2024

2022

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms.

Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga, Dipam Chakraborty, Kinal Mehta, João G. M. Araújo

J. Mach. Learn. Res., 2022

A2C is a special case of PPO.

Shengyi Huang, Anssi Kanervisto, Antonin Raffin, Weixun Wang, Santiago Ontañón, Rousslan Fernand Julien Dossa

CoRR, 2022

2021

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms.

Shengyi Huang, Rousslan Fernand Julien Dossa, Chang Ye, Jeff Braga

CoRR, 2021

An Empirical Investigation of Early Stopping Optimizations in Proximal Policy Optimization.

Rousslan Fernand Julien Dossa, Shengyi Huang, Santiago Ontañón, Takashi Matsubara

IEEE Access, 2021

2020

Hybrid of Reinforcement and Imitation Learning for Human-Like Agents.

Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara

IEICE Trans. Inf. Syst., 2020

2019

A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning.

Rousslan Fernand Julien Dossa, Xinyu Lian, Hirokazu Nomoto, Takashi Matsubara, Kuniaki Uehara

Proceedings of the International Joint Conference on Neural Networks, 2019