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 | 69 | 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 | 58 | 2019 |
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 | 39 | 2023 |
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 | 27 | 2022 |
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 | 17 | 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 | 8 | 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 | 4* | 2023 |
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 | 3 | 2022 |
Adaptive Temperature Tuning for Mellowmax in Deep Reinforcement Learning S Kim, G Konidaris the NeurIPS 2019 Workshop on Deep Reinforcement Learning, 2019 | 3 | 2019 |
MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions C Ho, S Kim, B Moon, A Parandekar, N Harutyunyan, C Wang, K Sycara, ... arXiv preprint arXiv:2409.15590, 2024 | | 2024 |
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 | | 2021 |
Adaptive Tuning of Temperature in Mellowmax using Meta-Gradients S Kim Brown University, 2020 | | 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 | | 2019 |