1 citations · 1 across the 2 of their papers we have counts for
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Distributed Constraint Optimization via Online Learning and Iterative Pricing with Application to Large-Scale Satellite Scheduling
Itai Zilberstein, Pranav Rajbhandari, Steve Chien +1
Distributed constraint optimization problems (DCOPs) provide a popular framework for distributed decision making under limited communication, but many real-world instances are too…
Scalable Dynamic Distributed Constraint Optimization with Metareasoning and Application to Continual Satellite Operations
Itai Zilberstein, Steve Chien
Dynamic distributed constraint optimization problems (DDCOPs) provide a general framework for coordinating autonomous agents in changing environments. However, existing DDCOP formu…
Learning-Based Planning for Improving Science Return of Earth Observation Satellites
Abigail Breitfeld, Alberto Candela, Juan Delfa +4
Earth observing satellites are powerful tools for collecting scientific information about our planet, however they have limitations: they cannot easily deviate from their orbital t…
Demonstrating Onboard Inference for Earth Science Applications with Spectral Analysis Algorithms and Deep Learning
Itai Zilberstein, Alberto Candela, Steve Chien +4
In partnership with Ubotica Technologies, the Jet Propulsion Laboratory is demonstrating state-of-the-art data analysis onboard CogniSAT-6/HAMMER (CS-6). CS-6 is a satellite with a…