Multi-agent interaction is a fundamental aspect of autonomous driving in the real world. Despite more than a decade of research and development, the problem of how to competently interact with diverse road users in diverse scenarios remains largely unsolved. Learning methods have much to offer towards solving this problem. But they require a realistic multi-agent simulator that generates diverse and competent driving interactions. To meet this need, we develop a dedicated simulation platform called SMARTS (Scalable Multi-Agent RL Training School). SMARTS supports the training, accumulation, and use of diverse behavior models of road users. These are in turn used to create increasingly more realistic and diverse interactions that enable deeper and broader research on multiagent interaction. In this paper, we describe the design goals of SMARTS, explain its basic architecture and its key features, and illustrate its use through concrete multi-agent experiments on interactive scenarios. We open-source the SMARTS platform and the associated benchmark tasks and evaluation metrics to encourage and empower research on multi-agent learning for autonomous driving. Our code is available at https://github.com/huawei-noah/SMARTS.
Coronaviruses are a family of related viruses that cause diseases in mammals and avians. Guillain-Barre syndrome is a rare disorder in which the body's immune system attacks peripheral nerves.The case:A 65 years old Sudanese male with no diabetes mellitus or hypertension present to the clinic; On examination, he has upper and lower limb weakness (quadriplegia). The condition was preceded by upper respiratory tract infection. Chest X-ray showed features of pneumonia Chest CT scan showed multiple bilateral ground-glass opacities and consolidation typical of COVID-19 pneumonia. Brain MRI was normal. The COVID-19 nasal swab test was positive. Nerve conduction study showed evidence of polyradiculopathies with dominant demyelination supporting the diagnosis of Guillain-Barre syndrome. The patients died after seven days; because of progressive respiratory failure.
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