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cs.RO2024
Importance Sampling-Guided Meta-Training for Intelligent Agents in Highly Interactive Environments
Mansur Arief, Mike Timmerman, Jiachen Li +2
Training intelligent agents to navigate highly interactive environments presents significant challenges. While guided meta reinforcement learning (RL) approach that first trains a…
cs.RO2024
CMP: Cooperative Motion Prediction with Multi-Agent Communication
Zehao Wang, Yuping Wang, Zhuoyuan Wu +4
The confluence of the advancement of Autonomous Vehicles (AVs) and the maturity of Vehicle-to-Everything (V2X) communication has enabled the capability of cooperative connected and…