The field of robotics has been rapidly developing in recent years, and the work related to training robotic agents with reinforcement learning has been a major focus of research. This survey reviews ...

Reinforcement Learning Studio, RL-Studio, is a platform for developing robotic applications with reinforcement learning algorithms. Its modular design allows to work easily with different agents and ...

As part of my Bachelor thesis at ETH Zurich, I had the opportunity to contribute to this project, focusing on applying Reinforcement Learning (RL) to autonomous robotic construction. The project ...

The paper focuses on the reinforcement learning method for the path following platform. Firstly, the waypoint following logic is developed and it is incorporated into ROS publish and subscribe block ...

Amazon today launched SageMaker Reinforcement Learning (RL) Kubeflow Components, a toolkit supporting the company’s AWS RoboMaker service for orchestrating robotics workflows. Amazon says that ...

Berkeley Artificial Intelligence Research (BAIR) has introduced a new reinforcement learning (RL) method, Stochastic Optimal Control with Latent Representations (SOLAR), which can help robots quickly ...

Boston Dynamics Wednesday announced a partnership designed to bring improved reinforcement learning to its electric Atlas humanoid robot. The tie-up is with the Robotics & AI Institute (RAI ...