2 papers
cs.CE2021
Beyond Tracking: Using Deep Learning to Discover Novel Interactions in Biological Swarms
Taeyeong Choi, Benjamin Pyenson, Juergen Liebig +1
Most deep-learning frameworks for understanding biological swarms are designed to fit perceptive models of group behavior to individual-level data (e.g., spatial coordinates of ide…
cs.RO2021
Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning
Taeyeong Choi, Grzegorz Cielniak
In our previous work, we designed a systematic policy to prioritize sampling locations to lead significant accuracy improvement in spatial interpolation by using the prediction unc…