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A Sampling Based Approach to Robust Planning for a Planetary Lander
Planning for autonomous operation in unknown environments poses a number of technical challenges. The agent must ensure robustness to …
Connor Basich
,
Joseph A Russino
,
Steve Chien
,
and Shlomo Zilberstein
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Analyzing the efficacy of flexible execution, replanning, and plan optimization for a planetary lander
Plan execution in unknown environments poses a number of challenges: uncertainty in domain modeling, stochasticity at execution time, …
Daniel Wang
,
Joseph A. Russino
,
Connor Basich
,
and Steve Chien
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Metareasoning for Safe Decision Making in Autonomous Systems
Although experts carefully specify the high-level decision-making models in autonomous systems, it is infeasible to guarantee safety …
Justin Svegliato
,
Connor Basich
,
Sandhya Saisubramanian
,
and Shlomo Zilberstein
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Planning with Intermittent State Observability: Knowing When to Act Blind
Contemporary planning models and methods of- ten rely on constant availability of free state information at each step of execution. …
Connor Basich
,
John R. Peterson
,
and Shlomo Zilberstein
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Improving Competence via Iterative State Space Refinement
Abstract— Despite considerable efforts by human designers, accounting for every unique situation that an autonomous robotic system …
Connor Basich
,
Justin Svegliato
,
Allyson Beach
,
Kyle Hollins Wray
,
Stefan Witwicki
,
and Shlomo Zilberstein
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Solving Markov decision processes with partial state abstractions
Autonomous systems often use approximate planners that exploit state abstractions to solve large MDPs in real-time decision-making …
Samer B. Nashed
,
Justin Svegliato
,
Matteo Brucato
,
Connor Basich
,
Rod Grupen
,
and Shlomo Zilberstein
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Learning to Optimize Autonomy in Competence-Aware Systems
Interest in semi-autonomous systems (SAS) is growing rapidly as a paradigm to deploy autonomous systems in domains that require …
Connor Basich
,
Justin Svegliato
,
Kyle Hollins Wray
,
Stefan Witwicki
,
Joydeep Biswas
,
and Shlomo Zilberstein
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Satisfying Social Preferences in Ridesharing Services
Dynamic ridesharing services (DRS) play a major role in improving the efficiency of urban transportation. User satisfaction in dynamic …
Sandhya Saisubramanian
,
Connor Basich
,
Shlomo Zilberstein
,
and Claudia V. Goldman
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