most citedTowards Fault Tolerance in Multi-Agent Reinforcement Learning

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cs.RO2025

Fault-Tolerant MARL for CAVs under Observation Perturbations for Highway On-Ramp Merging

Yuchen Shi, Huaxin Pei, Yi Zhang +1

Multi-Agent Reinforcement Learning (MARL) holds significant promise for enabling cooperative driving among Connected and Automated Vehicles (CAVs). However, its practical applicati…

cs.RO2024

Life-long Learning and Testing for Automated Vehicles via Adaptive Scenario Sampling as A Continuous Optimization Process

Jingwei Ge, Pengbo Wang, Cheng Chang +3

Sampling critical testing scenarios is an essential step in intelligence testing for Automated Vehicles (AVs). However, due to the lack of prior knowledge on the distribution of cr…