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Domain-Transferred Synthetic Data Generation for Improving Monocular Depth Estimation
A major obstacle to the development of effective monocular depth estimation algorithms is the difficulty in obtaining high-quality depth data that corresponds to collected RGB images.
Challenges Faced by Large Language Models in Solving Multi-Agent Flocking
Flocking is a behavior where multiple agents in a system attempt to stay close to each other while avoiding collision and maintaining a desired formation.
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network
However, it has been observed that relying solely on the states of immediate neighbors is insufficient to imitate a centralized control policy.
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