Shypd.aiThe largest open index of AI toolsSMARTS is an open-source simulation platform for multi-agent reinforcement learning (RL) and autonomous driving research. It focuses on realistic and diverse interactions within simulated environments.
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SMARTS (Scalable Multi-Agent Reinforcement Learning Training School) is an open-source simulation platform developed by Huawei Noah's Ark Lab, designed for multi-agent reinforcement learning (RL) and autonomous driving research. It provides a robust environment for simulating complex traffic scenarios and testing autonomous vehicle algorithms. The platform emphasizes realistic and diverse interactions, making it a valuable tool for researchers and developers in the field. As part of the XingTian suite of RL platforms, SMARTS offers a scalable solution for training and evaluating RL agents in dynamic driving environments. It is available on GitHub, allowing for community contributions and widespread use.
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