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Found 2 papers, 1 papers with code
Real-time Nonlinear Model Predictive Control using One-step Optimizations and Reachable Sets
Model predictive control allows solving complex control tasks with control and state constraints.
Long Short-Term Memory for Spatial Encoding in Multi-Agent Path Planning
Reinforcement learning-based path planning for multi-agent systems of varying size constitutes a research topic with increasing significance as progress in domains such as urban air mobility and autonomous aerial vehicles continues.
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