Researchers develop multi-agent systems for quadcopters to collaborate in missions.
arXiv research
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This work improves motion planning for quadcopters by learning and reasoning about controller performance.
This work enables UAVs to autonomously form desired trajectories without needing a central plan.
Direct neural ratio estimator for likelihood-free inference.
The paper shows why AI safety doesn't generalize across tasks.
Imitation learning is a control design paradigm that seeks to learn a control policy reproducing demonstrations from expert agents. By substituting expert demonstrations for optimal behaviours, the same paradigm leads to the design of control policies closely approximating the optimal state-feedback. This approach requ…