Justin Svegliato

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 30

Top Topics

Markov Decision Process

Autonomous Systems

Top Venues

Publications

Qingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell
Ethically Compliant Autonomous Systems under Partial Observability. ICRA (2024)
Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca D. Dragan, Sergey Levine
Defining Deception in Decision Making. AAMAS (2024)
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
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. ICLR (2024)
Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer
A StrongREJECT for Empty Jailbreaks. CoRR (2024)
Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell
Active Reward Learning from Multiple Teachers. SafeAI@AAAI (2023)
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
Competence-aware systems. Artif. Intell. 316 (2023)
Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell
Active teacher selection for reinforcement learning from human feedback. CoRR (2023)
Mason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell
Formal Composition of Robotic Systems as Contract Programs. IROS (2023)
Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell
Active Reward Learning from Multiple Teachers. CoRR (2023)
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
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. CoRR (2023)
Samer B. Nashed, Justin Svegliato, Su Lin Blodgett
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities. CoRR (2023)
Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. ICAPS (2022)
Samer B. Nashed, Justin Svegliato, Abhinav Bhatia, Stuart Russell, Shlomo Zilberstein
Selecting the Partial State Abstractions of MDPs: A Metareasoning Approach with Deep Reinforcement Learning. IROS (2022)
Justin Svegliato, Connor Basich, Sandhya Saisubramanian, Shlomo Zilberstein
Metareasoning for Safe Decision Making in Autonomous Systems. ICRA (2022)
Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein
On the Benefits of Randomly Adjusting Anytime Weighted A. SOCS (2021)
Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
Improving Competence via Iterative State Space Refinement. IROS (2021)
Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein
Ethically Compliant Planning within Moral Communities. AIES (2021)
Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein
Agent-aware State Estimation in Autonomous Vehicles. CoRR (2021)
Samer B. Nashed, Justin Svegliato, Matteo Brucato, Connor Basich, Rod Grupen, Shlomo Zilberstein
Solving Markov Decision Processes with Partial State Abstractions. ICRA (2021)
Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein
Agent-Aware State Estimation in Autonomous Vehicles. IROS (2021)
Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
Ethically Compliant Sequential Decision Making. AAAI (2021)
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
Learning to Optimize Autonomy in Competence-Aware Systems. CoRR (2020)
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
Learning to Optimize Autonomy in Competence-Aware Systems. AAMAS (2020)
Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
Ethically Compliant Planning in Moral Autonomous Systems. AISafety@IJCAI (2020)
Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein
An Integrated Approach to Moral Autonomous Systems. ECAI (2020)
Justin Svegliato, Prakhar Sharma, Shlomo Zilberstein
A Model-Free Approach to Meta-Level Control of Anytime Algorithms. ICRA (2020)
Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein
Improving Competence for Reliable Autonomy. AREA@ECAI (2020)
Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein
Belief Space Metareasoning for Exception Recovery. IROS (2019)
Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein
Meta-Level Control of Anytime Algorithms with Online Performance Prediction. IJCAI (2018)
Timothy E. Lee, Justin Svegliato
Celebrating the past, present, and future of computing. AI Matters 3 (3) (2017)
Carolyn C. Matheus, Justin Svegliato
Stimulus-response tests: An applied demonstration: Demonstration paper. RCIS (2013)