Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving

11 October 2016

Papers citing "Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving"

11 / 11 papers shown

Title
Feasibility-Aware Pessimistic Estimation: Toward Long-Horizon Safety in Offline RL Zhikun Tao Gang Xiong He Fang Zhen Shen Yunjun Han Qing-Shan Jia OffRL 86 0 0 13 May 2025
MARFT: Multi-Agent Reinforcement Fine-Tuning Junwei Liao Muning Wen Jun Wang Weinan Zhang OffRL 70 1 0 21 Apr 2025
Autonomous Algorithm for Training Autonomous Vehicles with Minimal Human Intervention Sang-Hyun Lee Daehyeok Kwon Seung-Woo Seo 94 1 0 17 Jan 2025
Multi-Agent Quantum Reinforcement Learning using Evolutionary Optimization Michael Kolle Felix Topp Thomy Phan Philipp Altmann Jonas Nusslein Claudia Linnhoff-Popien AI4CE 74 5 0 03 Jan 2025
A Multi-Agent Approach for REST API Testing with Semantic Graphs and LLM-Driven Inputs Myeongsoo Kim Tyler Stennett Saurabh Sinha Alessandro Orso 57 5 0 11 Nov 2024
Towards an Information Theoretic Framework of Context-Based Offline Meta-Reinforcement Learning Lanqing Li Hai Zhang Xinyu Zhang Shatong Zhu Junqiao Zhao Junqiao Zhao Pheng-Ann Heng OffRL 65 8 0 04 Feb 2024
Networked Communication for Decentralised Agents in Mean-Field Games Patrick Benjamin Alessandro Abate FedML 75 2 0 05 Jun 2023
Global Convergence of Policy Gradient for Linear-Quadratic Mean-Field Control/Game in Continuous Time Weichen Wang Jiequn Han Zhuoran Yang Zhaoran Wang 54 27 0 16 Aug 2020
Reinforcement Learning with Uncertainty Estimation for Tactical Decision-Making in Intersections C. Hoel Tommy Tram J. Sjöberg 39 30 0 17 Jun 2020
Algorithmic decision-making in AVs: Understanding ethical and technical concerns for smart cities H. S. M. Lim Araz Taeihagh 36 82 0 29 Oct 2019
Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization Shai Shalev-Shwartz Tong Zhang 99 1,031 0 10 Sep 2012