Reinforcement Learning for Robotic Control When I began to study Reinforcement Learning (RL) in robotics, I noted that there was no literature available that reviewed the varying methods of RL for ...

This article investigates a constrained optimal control problem for safety-critical robots with parametric uncertainties. A novel adaptive safety-certified reinforcement learning (RL) algorithm is ...

Reinforcement Learning (RL) usually needs thousands of episodes, leading its applications on physical robots expensive and challenging. Little research has been reported about snake robot control ...

This project addresses wheeled mobile robot position control using Reinforcement Learning (RL). Conducting the learning process in simulation reduces risks to actual robots and eliminates the need for ...

Learn how to use reinforcement learning for robot control, and explore some of the techniques that can help you overcome the challenges of RL.

Learn how to use reinforcement learning (RL) to make your robot safer, with tips and techniques such as reward function, simulation, human feedback, and more.

Robot arm control with Reinforcement Learning This project focuses on controlling a 7 DOF robot arm provided in the pandas_gym Reacher environment using two continuous reinforcement learning ...

A new machine-learning technique can train and control a reconfigurable soft robot that can dynamically change its shape to complete a task. The researchers also built a simulator that can ...

Keywords: iCub, humanoid robot, reinforcement learning, meta-learning, bio-inspiration, prefrontal cortex Citation: Khamassi M, Lallée S, Enel P, Procyk E and Dominey PF (2011) Robot cognitive control ...