Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles

21 December 2023

Papers citing "Multi-Agent Probabilistic Ensembles with Trajectory Sampling for Connected Autonomous Vehicles"

7 / 7 papers shown

Title
Stochastic Graph Neural Network-based Value Decomposition for MARL in Internet of Vehicles Baidi Xiao Rongpeng Li Fei-Yue Wang Chenghui Peng Jianjun Wu Zhifeng Zhao Honggang Zhang 37 9 0 23 Mar 2023
Transfer in Reinforcement Learning via Regret Bounds for Learning Agents Adrienne Tuynman R. Ortner 14 2 0 02 Feb 2022
Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang FedML 19 6 0 30 Jan 2022
Provably Efficient Multi-Agent Reinforcement Learning with Fully Decentralized Communication Justin Lidard Udari Madhushani Naomi Ehrich Leonard OffRL 59 6 0 14 Oct 2021
Prioritized Experience-based Reinforcement Learning with Human Guidance for Autonomous Driving Jingda Wu Zhiyu Huang Wenhui Huang Chen Lv 27 73 0 26 Sep 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 143 1,624 0 02 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 268 5,652 0 05 Dec 2016