Seungchan Kim
Cited by
Cited by
Deepmellow: removing the need for a target network in deep Q-learning
S Kim, K Asadi, M Littman, G Konidaris
Proceedings of the Twenty Eighth International Joint Conference on …, 2019
Combating the Compounding-Error Problem with a Multi-step Model
K Asadi, D Misra, S Kim, ML Littman
arXiv preprint arXiv:1905.13320, 2019
Airdet: Few-shot detection without fine-tuning for autonomous exploration
B Li, C Wang, P Reddy, S Kim, S Scherer
European Conference on Computer Vision, 427-444, 2022
Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis
Y Hu, Q Xie, V Jain, J Francis, J Patrikar, N Keetha, S Kim, Y Xie, T Zhang, ...
arXiv preprint arXiv:2312.08782, 2023
Unsupervised online learning for robotic interestingness with visual memory
C Wang, Y Qiu, W Wang, Y Hu, S Kim, S Scherer
IEEE Transactions on Robotics 38 (4), 2446-2461, 2021
Removing the Target Network from Deep Q-Networks with the Mellowmax Operator.
S Kim, K Asadi, ML Littman, GD Konidaris
AAMAS, 2060-2062, 2019
Robotic Interestingness via Human-Informed Few-Shot Object Detection
S Kim, C Wang, B Li, S Scherer
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
Adaptive Temperature Tuning for Mellowmax in Deep Reinforcement Learning
S Kim, G Konidaris
the NeurIPS 2019 Workshop on Deep Reinforcement Learning, 2019
Multi-Robot Multi-Room Exploration with Geometric Cue Extraction and Circular Decomposition
S Kim, M Corah, J Keller, G Best, S Scherer
IEEE Robotics and Automation Letters, 2023
Using Computational Analysis of Behavior To Discover Developmental Change In Memory-Guided Attention Mechanisms In Childhood
D Amso, L Govindarajan, P Gupta, D Placido, H Baumgartner, A Lynn, ...
PsyArXiv, 2021
Adaptive Tuning of Temperature in Mellowmax using Meta-Gradients
S Kim
Brown University, 2020
[Replication] A Unified Bellman Optimality Principle Combining Reward Maximization and Empowerment
A Bagaria, S Kim, A Mazzetto, R Rodriguez-Sanchez
NeurIPS 2019 Reproducibility Challenge, 2019
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