Tara Estlin

ROS: an open-source Robot Operating System

Do no harm: a roadmap for responsible machine learning for health care

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Robotic space exploration agents

Human-level performance in 3D multiplayer games with population-based reinforcement learning

A CONSTRAINED ARCHITECTURE FOR LEARNING AND PROBLEM SOLVING

Development environments for autonomous mobile robots: A survey

The Complexity of Decentralized Control of Markov Decision Processes

A process for predicting manhole events in Manhattan

Distilling Free-Form Natural Laws from Experimental Data

Learning to improve both efficiency and quality of planning

An integrated system for multi-rover scientific exploration

CLARAty: Challenges and Steps toward Reusable Robotic Software

Machine learning challenges in Mars rover traverse science

AEGIS autonomous targeting for ChemCam on Mars Science Laboratory: Deployment and results of initial science team use