Concepedia

Seungchan Kim

SK

7

Publications

169

Citations

7

H-Index

2019

Active since

Affiliations

Carnegie Mellon University(Current)

Seungchan Kim is an author at Carnegie Mellon University specializing in computer science, machine learning, and robot learning.

Top concepts

EngineeringRobot LearningComputer ScienceMachine LearningArtificial IntelligencePlanningManagementData ScienceDeep LearningNumerical Analysis

Publications per year

2019–2024

7

Publications

7

DeepMellow: Removing the Need for a Target Network in Deep Q-Learning

Seungchan Kim, Kavosh Asadi, Michael L. Littman et al. · 2019 · 61 citations · Full text

Artificial Intelligence, Convolutional Neural Network, Reward Hacking +14

Combating the Compounding-Error Problem with a Multi-step Model

Kavosh Asadi, Dipendra Misra, Seungchan Kim et al. · arXiv (Cornell University) · 2019 · 27 citations · Full text

Numerical Analysis, Mathematical Programming, Artificial Intelligence +23

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

Yafei Hu, Quanting Xie, Vidhi Jain et al. · arXiv (Cornell University) · 2023 · 25 citations · Full text

Understanding Direct-Ammonia Protonic Ceramic Fuel Cells: High-Performance in the Absence of Precious Metal Catalysts

Jiwon Yun, Grace Xiong, Seungchan Kim et al. · ACS Energy Letters · 2024 · 22 citations · Full text

Unsupervised Online Learning for Robotic Interestingness With Visual Memory

Chen Wang, Yuheng Qiu, Wenshan Wang et al. · IEEE Transactions on Robotics · 2021 · 13 citations · Full text

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