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2020 – today
- 2024
[c22]Marwa Abdulhai, Micah Carroll, Justin Svegliato, Anca D. Dragan, Sergey Levine:
Defining Deception in Decision Making. AAMAS 2024: 2111-2113- [c21]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 - [c20]Qingyuan Lu, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell:
Ethically Compliant Autonomous Systems under Partial Observability. ICRA 2024: 16229-16235 - [i7]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 abs/2402.10260 (2024) - 2023
- [j2]Connor Basich
, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Competence-aware systems. Artif. Intell. 316: 103844 (2023) - [c19]Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell:
Active Reward Learning from Multiple Teachers. SafeAI@AAAI 2023 - [c18]Mason Nakamura, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein, Stuart Russell:
Formal Composition of Robotic Systems as Contract Programs. IROS 2023: 6727-6732 - [i6]Samer B. Nashed, Justin Svegliato, Su Lin Blodgett:
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities. CoRR abs/2301.05753 (2023) - [i5]Peter Barnett, Rachel Freedman, Justin Svegliato, Stuart Russell:
Active Reward Learning from Multiple Teachers. CoRR abs/2303.00894 (2023) - [i4]Rachel Freedman, Justin Svegliato, Kyle Hollins Wray, Stuart Russell:
Active teacher selection for reinforcement learning from human feedback. CoRR abs/2310.15288 (2023) - [i3]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 abs/2311.01011 (2023) - 2022
- [c17]Abhinav Bhatia, Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Tuning the Hyperparameters of Anytime Planning: A Metareasoning Approach with Deep Reinforcement Learning. ICAPS 2022: 556-564 - [c16]Justin Svegliato, Connor Basich, Sandhya Saisubramanian, Shlomo Zilberstein:
Metareasoning for Safe Decision Making in Autonomous Systems. ICRA 2022: 11073-11079 - [c15]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: 11665-11670 - 2021
- [c14]Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Ethically Compliant Sequential Decision Making. AAAI 2021: 11657-11665 - [c13]Samer B. Nashed, Justin Svegliato, Shlomo Zilberstein:
Ethically Compliant Planning within Moral Communities. AIES 2021: 188-198 - [c12]Samer B. Nashed, Justin Svegliato, Matteo Brucato, Connor Basich, Rod Grupen, Shlomo Zilberstein:
Solving Markov Decision Processes with Partial State Abstractions. ICRA 2021: 813-819 - [c11]Connor Basich, Justin Svegliato, Allyson Beach, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Improving Competence via Iterative State Space Refinement. IROS 2021: 1865-1871 - [c10]Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein:
Agent-Aware State Estimation in Autonomous Vehicles. IROS 2021: 6694-6699 - [c9]Abhinav Bhatia, Justin Svegliato, Shlomo Zilberstein:
On the Benefits of Randomly Adjusting Anytime Weighted A. SOCS 2021: 116-120 - [i2]Shane Parr, Ishan Khatri, Justin Svegliato, Shlomo Zilberstein:
Agent-aware State Estimation in Autonomous Vehicles. CoRR abs/2108.00366 (2021) - 2020
- [c8]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. AAMAS 2020: 123-131 - [c7]Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
An Integrated Approach to Moral Autonomous Systems. ECAI 2020: 2941-2942 - [c6]Justin Svegliato, Prakhar Sharma, Shlomo Zilberstein:
A Model-Free Approach to Meta-Level Control of Anytime Algorithms. ICRA 2020: 11436-11442 - [c5]Justin Svegliato, Samer B. Nashed, Shlomo Zilberstein:
Ethically Compliant Planning in Moral Autonomous Systems. AISafety@IJCAI 2020 - [c4]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Shlomo Zilberstein:
Improving Competence for Reliable Autonomy. AREA@ECAI 2020: 37-53 - [i1]Connor Basich, Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Learning to Optimize Autonomy in Competence-Aware Systems. CoRR abs/2003.07745 (2020)
2010 – 2019
- 2019
- [c3]Justin Svegliato, Kyle Hollins Wray, Stefan J. Witwicki, Joydeep Biswas, Shlomo Zilberstein:
Belief Space Metareasoning for Exception Recovery. IROS 2019: 1224-1229 - 2018
- [c2]Justin Svegliato, Kyle Hollins Wray, Shlomo Zilberstein:
Meta-Level Control of Anytime Algorithms with Online Performance Prediction. IJCAI 2018: 1499-1505 - 2017
- [j1]Timothy E. Lee, Justin Svegliato:
Celebrating the past, present, and future of computing. AI Matters 3(3): 22-24 (2017) - 2013
- [c1]Carolyn C. Matheus, Justin Svegliato:
Stimulus-response tests: An applied demonstration: Demonstration paper. RCIS 2013: 1-2
Coauthor Index
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last updated on 2024-08-20 23:03 CEST by the dblp team
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