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Generalizing Cooperative Eco-driving via Multi-residual Task Learning
To address this, we introduce Multi-residual Task Learning (MRTL), a generic learning framework based on multi-task learning that, for a set of task scenarios, decomposes the control into nominal components that are effectively solved by conventional control methods and residual terms which are solved using learning.
Non-local Evasive Overtaking of Downstream Incidents in Distributed Behavior Planning of Connected Vehicles
The prevalence of high-speed vehicle-to-everything (V2X) communication will likely significantly influence the future of vehicle autonomy.
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