Shahaf Shperberg
Postdoctoral Fellow

Dr. Shahaf Shperberg is postdoctoral fellow at the Learning Agents Research Group (LARG) in the Department of Computer Science at The University of Texas at Austin, directed by Prof. Peter Stone. He focuses on improving the abilities of agents to reason about their computation actions and decisions in order to solve complex problems in challenging environments. In order to achieve that, his research relies on different methods such as meta-reasoning, (sequential) decision making, heuristic search and reinforcement learning.
Research
Research Areas:
Select Publications
S Shperberg, A Coles, E Karpas, W Ruml, S Shimony. 2021. Metareasoning for Situated Temporal Planning.
A Felner, SS Shperberg, H Buzhish. 2021. The Closed List Is an Obstacle Too.
SS Shperberg. 2021. Meta-level Techniques for Planning, Search, and Scheduling.
A Elboher, SS Shperberg, SE Shimony. 20121. Metareasoning for Interleaved Planning and Execution.
SS Shperberg, A Coles, E Karpas, W Ruml, SE Shimony. 2021. Situated Temporal Planning Using Deadline-aware Metareasoning.
Awards & Honors
2019 -
Friedman award for outstanding achievements in research
2019 -
Best paper and best student paper awards, SoCS
2017 -
Friedman award for outstanding achievements in research
2017 -
1st place winner in HackIDC 2016, Israel’s leading student Hackathon
2015 -
1st place winner in Innovate2Educate Hackathon