Jonathan Scholz - Concepedia

Author

Jonathan Scholz

Georgia Institute of Technology

Also Known As

Jonathan Scholz, Scholz, Jonathan

Publications

2.3K

Citations

H-Index

Concepts

All Affiliations

Georgia Institute of Technology Massachusetts Institute of Technology Google DeepMind (United Kingdom)

About

Jonathan Scholz is an author at Georgia Institute of Technology specializing in robotics, robot learning, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	12	803
2	Health Sciences	3	3	88
3	Natural Sciences	2	2	24
4	Social Sciences	2	2	167
5	Law	1	1	74

Jonathan Scholz

Publications

2.2K

Citations

H-Index

Page 1

	Year	Citations
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards Todd Hester, Jonathan Scholz, Fumin Wang, arXiv (Cornell University) Artificial IntelligenceEngineeringMachine LearningIntelligent RoboticsRobotics Problems	2017	509
Overlapping and non-overlapping brain regions for theory of mind and self reflection in individual subjects Rebecca Saxe, Joseph M. Moran, Jonathan Scholz, Social Cognitive and Affective Neuroscience	2006	322
Policy Shaping: Integrating Human Feedback with Reinforcement Learning Shane Griffith, K.A. Subramanian, Jonathan Scholz,	2013	302
Brain Regions for Perceiving and Reasoning About Other People in School-Aged Children Rebecca Saxe, Susan Whitfield‐Gabrieli, Jonathan Scholz, Child Development	2009	239
Distinct Regions of Right Temporo-Parietal Junction Are Selective for Theory of Mind and Exogenous Attention Jonathan Scholz, Christina Triantafyllou, Susan Whitfield‐Gabrieli, PLoS ONE	2009	237
The influence of prior record on moral judgment Dorit Kliemann, Liane Young, Jonathan Scholz, Neuropsychologia Prior RecordMoral PsychologyBehavioral Decision MakingBiasMoral Issue	2008	93
Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute,	2021	85
Neural evidence for “intuitive prosecution”: The use of mental state information for negative moral verdicts Liane Young, Jonathan Scholz, Rebecca Saxe Social Neuroscience Forensic PsychologyNeuropsychologyPsychosocial DeterminantAffective NeuroscienceEmpathy	2011	74
Scaling data-driven robotics with reward sketching and batch reinforcement learning Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Artificial IntelligenceBatch Reinforcement LearningReward FunctionEngineeringMachine Learning	2020	59
Scaling data-driven robotics with reward sketching and batch reinforcement learning Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, arXiv (Cornell University) Artificial IntelligenceBatch Reinforcement LearningReward FunctionEngineeringMachine Learning	2019	45

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