POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints

20 March 2024

Papers citing "POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints"

5 / 5 papers shown

Title
Provably-Safe Neural Network Training Using Hybrid Zonotope Reachability Analysis Long Kiu Chung Shreyas Kousik 123 0 0 22 Jan 2025
RAIL: Reachability-Aided Imitation Learning for Safe Policy Execution Wonsuhk Jung Dennis Anthony Utkarsh Aashu Mishra Nadun Ranawaka Arachchige Matthew Bronars Danfei Xu Shreyas Kousik 31 0 0 28 Sep 2024
ConBaT: Control Barrier Transformer for Safe Policy Learning Yue Meng Sai H. Vemprala Rogerio Bonatti Chuchu Fan Ashish Kapoor OffRL 35 3 0 07 Mar 2023
Probabilistic Safeguard for Reinforcement Learning Using Safety Index Guided Gaussian Process Models Weiye Zhao Tairan He Changliu Liu 33 21 0 03 Oct 2022
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 111 233 0 20 May 2022