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Optimizing Indoor Navigation Policies For Spatial Distancing
In this paper, we focus on the modification of policies that can lead to movement patterns and directional guidance of occupants, which are represented as agents in a 3D simulation engine.
Graph-Based Generative Representation Learning of Semantically and Behaviorally Augmented Floorplans
We present a floorplan embedding technique that uses an attributed graph to represent the geometric information as well as design semantics and behavioral features of the inhabitants as node and edge attributes.
Multi-Agent Hierarchical Reinforcement Learning for Humanoid Navigation
Multi-agent reinforcement learning is a particularly challenging problem.
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