Kyungjae Lee

Sungbin Lim

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Tractable and Provably Efficient Distributional Reinforcement Learning with General Value Function Approximation.

[BibT_eX]

[DOI]

CoRR, 2024

Heavy-Tailed Reinforcement Learning With Penalized Robust Estimator.

[BibT_eX]

[DOI]

Hyeonjun Park

IEEE Access, 2024

Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SPOTS: Stable Placement of Objects with Reasoning in Semi-Autonomous Teleoperation Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Contextually Adaptive Algorithms for Gaussian Process Bandit Optimization Under Heavy-Tailed Noise.

[BibT_eX]

[DOI]

Hyeonjun Park

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Placement Aware Grasp Planning for Efficient Sequential Manipulation.

[BibT_eX]

[DOI]

Juhan Park

Daejong Jin

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic.

[BibT_eX]

[DOI]

Dohyeong Kim

CoRR, 2023

Score-based Generative Modeling through Stochastic Evolution Equations in Hilbert Spaces.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Dohyeong Kim

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.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Daejong Jin

Juhan Park

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.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

A Selective Portfolio Management Algorithm with Off-Policy Reinforcement Learning Using Dirichlet Distribution.

[BibT_eX]

[DOI]

Hyunjun Yang

Hyeonjun Park

Axioms, 2022

Safety Guided Policy Optimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Efficient Extreme Motion Planning by Learning from Experience.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Adaptive Tsallis Entropy Regularization for Efficient Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Semi-Autonomous Teleoperation via Learning Non-Prehensile Manipulation Skills.

[BibT_eX]

[DOI]

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Domain Generalization by Mutual-Information Regularization with Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Trajectory-based Reinforcement Learning of Non-prehensile Manipulation Skills for Semi-Autonomous Teleoperation.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Learning to Walk a Tripod Mobile Robot Using Nonlinear Soft Vibration Actuators With Entropy Adaptive Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

Inverse Optimal Control from Demonstrations with Mixed Qualities.

[BibT_eX]

[DOI]

Yunho Choi

Proceedings of the 17th International Conference on Ubiquitous Robots, 2020

Vehicle Control with Prediction Model Based Monte-Carlo Tree Search.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Ubiquitous Robots, 2020

Sparse Actor-Critic: Sparse Tsallis Entropy Regularized Reinforcement Learning in a Continuous Action Space.

[BibT_eX]

[DOI]

Jaegoo Choy

Proceedings of the 17th International Conference on Ubiquitous Robots, 2020

Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

MixGAIL: Autonomous Driving Using Demonstrations with Mixed Qualities.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Hierarchical 6-DoF Grasping with Approaching Direction Selection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Beomjoon Kim

Sungbin Lim

Leslie Pack Kaelbling

Tomás Lozano-Pérez

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Robust Learning From Demonstrations With Mixed Qualities Using Leveraged Gaussian Processes.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2019

Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

Soft Action Particle Deep Reinforcement Learning for a Continuous Action Space.

[BibT_eX]

[DOI]

Minjae Kang

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Distributional Deep Reinforcement Learning with a Mixture of Gaussians.

[BibT_eX]

[DOI]

Yunho Choi

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Sparse Markov Decision Processes With Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Maximum Causal Tsallis Entropy Imitation Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Nonparametric Motion Flow Model for Human Robot Cooperation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017

Real-time nonparametric reactive navigation of mobile robots in dynamic environments.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2017

A multi-agent coverage algorithm with connectivity maintenance.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2017

Scalable robust learning from demonstration with leveraged deep neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

Density Matching Reward Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Inverse reinforcement learning with leveraged Gaussian processes.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Gaussian random paths for real-time motion planning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]