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pro vyhledávání: '"Nuin, Yue Leire Erro"'
Autor:
Nuin, Yue Leire Erro, Lopez, Nestor Gonzalez, Moral, Elias Barba, Juan, Lander Usategui San, Rueda, Alejandro Solano, Vilches, Víctor Mayoral, Kojcev, Risto
We propose a novel framework for Deep Reinforcement Learning (DRL) in modular robotics to train a robot directly from joint states, using traditional robotic tools. We use an state-of-the-art implementation of the Proximal Policy Optimization, Trust
Externí odkaz:
http://arxiv.org/abs/1903.06282
Autor:
Lopez, Nestor Gonzalez, Nuin, Yue Leire Erro, Moral, Elias Barba, Juan, Lander Usategui San, Rueda, Alejandro Solano, Vilches, Víctor Mayoral, Kojcev, Risto
This paper presents an upgraded, real world application oriented version of gym-gazebo, the Robot Operating System (ROS) and Gazebo based Reinforcement Learning (RL) toolkit, which complies with OpenAI Gym. The content discusses the new ROS 2 based s
Externí odkaz:
http://arxiv.org/abs/1903.06278