Near-Optimal Multi-Agent Learning for Safe Coverage Control

12 October 2022

Papers citing "Near-Optimal Multi-Agent Learning for Safe Coverage Control"

9 / 9 papers shown

Title
Finite-Sample-Based Reachability for Safe Control with Gaussian Process Dynamics Manish Prajapat Johannes Köhler Amon Lahr Andreas Krause M. Zeilinger 33 0 0 12 May 2025
RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and Audio Kian Behzad Rojin Zandi Elaheh Motamedi Hojjat Salehinejad Milad Siami 26 0 0 29 Aug 2024
Global Reinforcement Learning: Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods Ric De Santi Manish Prajapat Andreas Krause 36 3 0 13 Jul 2024
Information-Theoretic Safe Bayesian Optimization A. Bottero Carlos E. Luis Julia Vinogradska Felix Berkenkamp Jan Peters 32 1 0 23 Feb 2024
Safe Guaranteed Exploration for Non-linear Systems Manish Prajapat Johannes Köhler M. Turchetta Andreas Krause M. Zeilinger 19 3 0 09 Feb 2024
Cooperative Multi-Agent Graph Bandits: UCB Algorithm and Regret Analysis Phevos Paschalidis Runyu Zhang Na Li 21 0 0 18 Jan 2024
Submodular Reinforcement Learning Manish Prajapat Mojmír Mutný M. Zeilinger Andreas Krause OffRL 26 12 0 25 Jul 2023
Finding Safe Zones of policies Markov Decision Processes Lee Cohen Yishay Mansour Michal Moshkovitz 17 1 0 23 Feb 2022
Coverage Control in Multi-Robot Systems via Graph Neural Networks W. Gosrich Siddharth Mayya Rebecca Li James Paulos Mark H. Yim Alejandro Ribeiro Vijay R. Kumar 50 24 0 30 Sep 2021