Stimulus-response tests: An applied demonstration: Demonstration paper. - Carolyn C. Matheus; Justin Svegliato (RCIS, 2013)

Celebrating the past, present, and future of computing. - Timothy E. Lee; Justin Svegliato (AI Matters, 2017)

Meta-Level Control of Anytime Algorithms with Online Performance Prediction. - Justin Svegliato; Kyle Hollins Wray; Shlomo Zilberstein (IJCAI, 2018)

Belief Space Metareasoning for Exception Recovery. - Justin Svegliato; Kyle Hollins Wray; Stefan J. Witwicki; Joydeep Biswas; Shlomo Zilberstein (IROS, 2019)

Learning to Optimize Autonomy in Competence-Aware Systems. - Connor Basich; Justin Svegliato; Kyle Hollins Wray; Stefan J. Witwicki; Joydeep Biswas; Shlomo Zilberstein (AAMAS, 2020)

An Integrated Approach to Moral Autonomous Systems. - Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein (ECAI, 2020)

A Model-Free Approach to Meta-Level Control of Anytime Algorithms. - Justin Svegliato; Prakhar Sharma; Shlomo Zilberstein (ICRA, 2020)

Ethically Compliant Planning in Moral Autonomous Systems. - Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein (AISafety@IJCAI, 2020)

Improving Competence for Reliable Autonomy. - Connor Basich; Justin Svegliato; Kyle Hollins Wray; Stefan J. Witwicki; Shlomo Zilberstein (AREA@ECAI, 2020)

Ethically Compliant Sequential Decision Making. - Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein (AAAI, 2021)

Ethically Compliant Planning within Moral Communities. - Samer B. Nashed; Justin Svegliato; Shlomo Zilberstein (AIES, 2021)

Solving Markov Decision Processes with Partial State Abstractions. - Samer B. Nashed; Justin Svegliato; Matteo Brucato; Connor Basich; Rod Grupen; Shlomo Zilberstein (ICRA, 2021)

Improving Competence via Iterative State Space Refinement. - Connor Basich; Justin Svegliato; Allyson Beach; Kyle Hollins Wray; Stefan J. Witwicki; Shlomo Zilberstein (IROS, 2021)

Agent-Aware State Estimation in Autonomous Vehicles. - Shane Parr; Ishan Khatri; Justin Svegliato; Shlomo Zilberstein (IROS, 2021)

On the Benefits of Randomly Adjusting Anytime Weighted A. - Abhinav Bhatia; Justin Svegliato; Shlomo Zilberstein (SOCS, 2021)

Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. - Abhinav Bhatia; Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein (ICAPS, 2022)

Metareasoning for Safe Decision Making in Autonomous Systems. - Justin Svegliato; Connor Basich; Sandhya Saisubramanian; Shlomo Zilberstein (ICRA, 2022)

Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning. - Samer B. Nashed; Justin Svegliato; Abhinav Bhatia; Stuart Russell 001; Shlomo Zilberstein (IROS, 2022)

Active Reward Learning from Multiple Teachers. - Peter Barnett; Rachel Freedman; Justin Svegliato; Stuart Russell 001 (SafeAI@AAAI, 2023)

Formal Composition of Robotic Systems as Contract Programs. - Mason Nakamura; Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein; Stuart Russell 001 (IROS, 2023)

Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities. - Samer B. Nashed; Justin Svegliato; Su Lin Blodgett (CoRR, 2023)

Active teacher selection for reinforcement learning from human feedback. - Rachel Freedman; Justin Svegliato; Kyle Hollins Wray; Stuart Russell 001 (CoRR, 2023)

Competence-aware systems. - Connor Basich; Justin Svegliato; Kyle Hollins Wray; Stefan J. Witwicki; Joydeep Biswas; Shlomo Zilberstein (Artif. Intell., 2023)

Defining Deception in Decision Making. - Marwa Abdulhai; Micah Carroll; Justin Svegliato; Anca D. Dragan; Sergey Levine (AAMAS, 2024)

Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. - Sam Toyer; Olivia Watkins; Ethan Adrian Mendes; Justin Svegliato; Luke Bailey; Tiffany Wang; Isaac Ong; Karim Elmaaroufi; Pieter Abbeel; Trevor Darrell; Alan Ritter; Stuart Russell 001 (ICLR, 2024)

Ethically Compliant Autonomous Systems under Partial Observability. - Qingyuan Lu; Justin Svegliato; Samer B. Nashed; Shlomo Zilberstein; Stuart Russell 001 (ICRA, 2024)

A StrongREJECT for Empty Jailbreaks. - Alexandra Souly; Qingyuan Lu; Dillon Bowen; Tu Trinh; Elvis Hsieh; Sana Pandey; Pieter Abbeel; Justin Svegliato; Scott Emmons; Olivia Watkins; Sam Toyer (NeurIPS, 2024)

MICE for CATs: Model-Internal Confidence Estimation for Calibrating Agents with Tools. - Nishant Subramani; Jason Eisner; Justin Svegliato; Benjamin Van Durme; Yu Su 001; Sam Thomson (NAACL (Long Papers), 2025)

AssistanceZero: Scalably Solving Assistance Games. - Cassidy Laidlaw; Eli Bronstein; Timothy Guo; Dylan Feng; Lukas Berglund; Justin Svegliato; Stuart Russell 001; Anca D. Dragan (CoRR, 2025)