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Justin Svegliato
Justin Svegliato
Research Scientist, UC Berkeley
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Learning to optimize autonomy in competence-aware systems
C Basich, J Svegliato, KH Wray, S Witwicki, J Biswas, S Zilberstein
18th International Conference on Autonomous Agents and Multiagent Systems …, 2020
392020
Belief space metareasoning for exception recovery
J Svegliato, KH Wray, SJ Witwicki, J Biswas, S Zilberstein
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
332019
Ethically compliant sequential decision making
J Svegliato, SB Nashed, S Zilberstein
35th AAAI Conference on Artificial Intelligence (AAAI), 2021
312021
Meta-level control of anytime algorithms with online performance prediction
J Svegliato, KH Wray, S Zilberstein
27th International Joint Conference of Artificial Intelligence (IJCAI), 2018
282018
A model-free approach to meta-level control of anytime algorithms
J Svegliato, P Sharma, S Zilberstein
IEEE International Conference on Robotics and Automation (ICRA), 2020
182020
Adaptive metareasoning for bounded rational agents
J Svegliato, S Zilberstein
IJCAI Workshop on Architectures and Evaluation for Generality, Autonomy and …, 2018
152018
Tensor Trust: Interpretable prompt injection attacks from an online game
S Toyer, O Watkins, EA Mendes, J Svegliato, L Bailey, T Wang, I Ong, ...
12th International Conference on Learning Representations (ICLR), 2024
122024
Tuning the hyperparameters of anytime planning: A metareasoning approach with deep reinforcement learning
A Bhatia, J Svegliato, S Nashed, S Zilberstein
32nd International Conference on Planning and Scheduling (ICAPS), 2022
112022
Solving Markov decision processes with partial state abstractions
SB Nashed, J Svegliato, M Brucato, C Basich, R Grupen, S Zilberstein
IEEE International Conference on Robotics and Automation (ICRA), 2021
112021
Ethically compliant planning within moral communities
SB Nashed, J Svegliato, S Zilberstein
4th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2021
112021
Improving competence for reliable autonomy
C Basich, J Svegliato, S Zilberstein, KH Wray, SJ Witwicki
ECAI Workshop on Agents and Robots for Reliable Engineered Autonomy (AREA), 2020
112020
On the benefits of randomly adjusting anytime weighted A*
A Bhatia, J Svegliato, S Zilberstein
14th Annual Symposium on Combinatorial Search (SoCS), 2021
102021
Introspective autonomous vehicle operational management
J Svegliato, S Witwicki, KH Wray, S Zilberstein
US Patent 10,649,453, 2020
92020
An integrated approach to moral autonomous systems
J Svegliato, S Nashed, S Zilberstein
24th European Conference on Artificial Intelligence (ECAI), 2020
82020
Metareasoning for safe decision making in autonomous systems
J Svegliato, C Basich, S Saisubramanian, S Zilberstein
IEEE International Conference on Robotics and Automation (ICRA), 2022
72022
Ethically compliant planning in moral autonomous systems
J Svegliato, SB Nashed, S Zilberstein
IJCAI Workshop on AI Safety (AISafety), 2020
62020
Tuning the hyperparameters of anytime planning: A deep reinforcement learning approach
A Bhatia, J Svegliato, S Zilberstein
ICAPS Workshop on Heuristics and Search for Domain-Independent Planning (HSDIP), 2021
52021
Improving competence via iterative state space refinement
C Basich, J Svegliato, A Beach, S Zilberstein, KH Wray, SJ Witwicki
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
52021
Deep Jammer: A music generation model
J Svegliato, S Witty
Small 6, 67, 2017
52017
Active reward learning from multiple teachers
P Barnett, R Freedman, J Svegliato, S Russell
AAAI Workshop on Artificial Intelligence Safety (SafeAI), 2022
42022
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