Reinforcement Learning

This paper addresses the problem of adapting a control system to unseen conditions, specifically to the problem of trajectory tracking …

This paper addresses the problem of the on-line adaptation of control parameters, dedicated to a path tracking problem in off-road …

During the off-road path following of a wheeled mobile robot in presence of poor grip conditions, the longitudinal velocity should be …

Stable-Baselines3 provides open-source implementations of deep reinforcement learning (RL) algorithms in Python. The implementations …

This paper proposes a new approach for online control law gains adaptation, through the use of neural networks and the Covariance …

The CES-IA Reinforcement learning class slides.

Beginner tutorial on Stable Baselines library with colab notebooks

The presentation of the 2019 ICINCO paper

This paper proposes a method for dynamically varying the gains of a mobile robot controller that takes into account, not only errors to …

Scaling end-to-end reinforcement learning to control real robots from vision presents a series of challenges, in particular in terms of …