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SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving
2020
Conference on Robot Learning
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
dblp:conf/corl/ZhouLVYRM0AFCHW20
fatcat:2swhnngmlbbova2xgx5zqpy3nu