Kyungjae Lee
Orcid: 0000-0003-0147-2715Affiliations:
- Seoul National University, Department of Electrical and Computer Engineering and ASRI, Korea
According to our database1,
Kyungjae Lee
authored at least 44 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Neural Networks Learn. Syst., April, 2024
2023
Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion.
CoRR, 2023
SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems.
CoRR, 2023
Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic.
CoRR, 2023
Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Perturbation-Based Best Arm Identification for Efficient Task Planning with Monte-Carlo Tree Search.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
Dynamics-Aware Metric Embedding: Metric Learning in a Latent Space for Visual Planning.
IEEE Robotics Autom. Lett., 2022
A Selective Portfolio Management Algorithm with Off-Policy Reinforcement Learning Using Dirichlet Distribution.
Axioms, 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation.
CoRR, 2021
2020
Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning.
IEEE Robotics Autom. Lett., 2020
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020
Sparse Actor-Critic: Sparse Tsallis Entropy Regularized Reinforcement Learning in a Continuous Action Space.
Proceedings of the 17th International Conference on Ubiquitous Robots, 2020
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots.
Proceedings of the Robotics: Science and Systems XVI, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
No-Regret Shannon Entropy Regularized Neural Contextual Bandit Online Learning for Robotic Grasping.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes.
IEEE Trans. Robotics, 2019
Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning.
CoRR, 2019
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
2018
Sparse Markov Decision Processes With Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning.
IEEE Robotics Autom. Lett., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Uncertainty-Aware Learning from Demonstration Using Mixture Density Networks with Sampling-Free Variance Modeling.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
2017
Real-time nonparametric reactive navigation of mobile robots in dynamic environments.
Robotics Auton. Syst., 2017
Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
2016
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Robust modeling and prediction in dynamic environments using recurrent flow networks.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Robust learning from demonstration using leveraged Gaussian processes and sparse-constrained optimization.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
2015
Leveraged non-stationary Gaussian process regression for autonomous robot navigation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015