3 citations · 4 across the 4 of their papers we have counts for
4 papers
SPOC: Safety-Aware Planning Under Partial Observability And Physical Constraints
Hyungmin Kim, Hobeom Jeon, Dohyung Kim +2
Embodied Task Planning with large language models faces safety challenges in real-world environments, where partial observability and physical constraints must be respected. Existi…
ReAcTree: Hierarchical LLM Agent Trees with Control Flow for Long-Horizon Task Planning
Jae-Woo Choi, Hyungmin Kim, Hyobin Ong +4
Recent advancements in large language models (LLMs) have enabled significant progress in decision-making and task planning for embodied autonomous agents. However, most existing me…
Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification
Geon Lee, Sanghoon Lee, Dohyung Kim +3
We present a novel unsupervised domain adaption method for person re-identification (reID) that generalizes a model trained on a labeled source domain to an unlabeled target domain…
Are machine learning technologies ready to be used for humanitarian work and development?
Vedran Sekara, Márton Karsai, Esteban Moro +6
Novel digital data sources and tools like machine learning (ML) and artificial intelligence (AI) have the potential to revolutionize data about development and can contribute to mo…