LEGO selects CVAE training targets from bottleneck regions on near-optimal paths and ensures diversity across regions, with formal definitions and performance guarantees.
Approximate inference-based motion planning by learning and exploiting low- dimensional latent variable models
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LEGO: Leveraging Experience in Roadmap Generation for Sampling-Based Planning
LEGO selects CVAE training targets from bottleneck regions on near-optimal paths and ensures diversity across regions, with formal definitions and performance guarantees.