SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

14 August 2024

Papers citing "SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning"

5 / 5 papers shown

Title
A Real-Time Control Barrier Function-Based Safety Filter for Motion Planning with Arbitrary Road Boundary Constraints Jianye Xu Chang Che Bassam Alrifaee 22 0 0 05 May 2025
High-Order Control Barrier Functions: Insights and a Truncated Taylor-Based Formulation Jianye Xu Bassam Alrifaee 52 1 0 19 Mar 2025
Learning-Based Control Barrier Function with Provably Safe Guarantees: Reducing Conservatism with Heading-Aware Safety Margin Jianye Xu Bassam Alrifaee 24 3 0 13 Nov 2024
XP-MARL: Auxiliary Prioritization in Multi-Agent Reinforcement Learning to Address Non-Stationarity Jianye Xu Omar Sobhy Bassam Alrifaee 25 2 0 18 Sep 2024
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles S. Aradi 202 427 0 30 Jan 2020