Conformal predictive safety filter for rl controllers in dynamic environments

KJ Strawn, N Ayanian… - IEEE Robotics and …, 2023 - ieeexplore.ieee.org
The interest in using reinforcement learning (RL) controllers in safety-critical applications
such as robot navigation around pedestrians motivates the development of additional safety …

DiAReL: Reinforcement Learning with Disturbance Awareness for Robust Sim2Real Policy Transfer in Robot Control

M Malmir, J Josifovski, N Klarmann, A Knoll - arxiv preprint arxiv …, 2023 - arxiv.org
Delayed Markov decision processes fulfill the Markov property by augmenting the state
space of agents with a finite time window of recently committed actions. In reliance with …

Reinforcement learning-based control of crazyflie 2. x quadrotor

A Javeed, VL Jiménez - arxiv preprint arxiv:2306.03951, 2023 - arxiv.org
The objective of the project is to explore synergies between classical control algorithms such
as PID and contemporary reinforcement learning algorithms to come up with a pragmatic …

[PDF][PDF] Quality Metrics for Reinforcement Learning for Edge Cloud and Internet-of-Things Systems.

C Pahl, HR Barzegar - WEBIST, 2023 - scitepress.org
Computation at the edge or within the Internet-of-Things (IoT) requires the use of controllers
to make the management of resources in this setting self-adaptive. Controllers are software …

[PDF][PDF] Certifiable Safety Techniques in Mobile Robots as Tools for Precise and Assistive AI Regulation

KJ Strawn, D Sokol - bu.edu
The widespread application of artificial intelligence (AI) systems across industries such as
healthcare, finance, and technology has surged, raising complex legal and regulatory …