1 citations · 1 across the 13 of their papers we have counts for
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Preference Elicitation for Policy Optimization and Application to Aligning Heart Transplantation with Human Values
Itai Zilberstein, Ioannis Anagnostides, Zachary W Sollie +2
Preference elicitation is essential for aligning AI systems with human values. Prior approaches (e.g., for organ allocation) often ask stakeholders to compare the decisions of an a…
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…