We stand with Ukraine

We stand with Ukraine

Jongmin Lee

Affiliations:

KAIST, School of Computing, Republic of Korea

According to our database¹, Jongmin Lee authored at least 25 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on jmlee.kr

On csauthors.net:

Bibliography

2024

Body Transformer: Leveraging Robot Embodiment for Policy Learning.

[BibT_eX]

[DOI]

Carmelo Sferrazza

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CoRR, 2024

Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies.

[BibT_eX]

[DOI]

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Tri Wahyu Guntara

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation.

[BibT_eX]

[DOI]

Daiki E. Matsunaga

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Stefanos Leonardos

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

SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations.

[BibT_eX]

[DOI]

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Geon-Hyeong Kim

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

2022

LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation.

[BibT_eX]

[DOI]

Geon-Hyeong Kim

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CoRR, 2022

Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions.

[BibT_eX]

[DOI]

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation.

[BibT_eX]

[DOI]

Geon-Hyeong Kim

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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations.

[BibT_eX]

[DOI]

Geon-Hyeong Kim

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HyeongJoo Hwang

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Proceedings of the Tenth International Conference on Learning Representations, 2022

GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems.

[BibT_eX]

[DOI]

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Proceedings of the Tenth International Conference on Learning Representations, 2022

COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation.

[BibT_eX]

[DOI]

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Cosmin Paduraru

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Daniel J. Mankowitz

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Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation.

[BibT_eX]

[DOI]

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Proceedings of the 38th International Conference on Machine Learning, 2021

Monte-Carlo Planning and Learning with Language Action Value Estimates.

[BibT_eX]

[DOI]

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Proceedings of the 9th International Conference on Learning Representations, 2021

Representation Balancing Offline Model-based Reinforcement Learning.

[BibT_eX]

[DOI]

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Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Layered Behavior Modeling via Combining Descriptive and Prescriptive Approaches: A Case Study of Infantry Company Engagement.

[BibT_eX]

[DOI]

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IEEE Trans. Syst. Man Cybern. Syst., 2020

Reinforcement Learning for Control with Multiple Frequencies.

[BibT_eX]

[DOI]

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

Batch Reinforcement Learning with Hyperparameter Gradients.

[BibT_eX]

[DOI]

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Proceedings of the 37th International Conference on Machine Learning, 2020

Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients.

[BibT_eX]

[DOI]

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Geon-Hyeong Kim

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

Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues.

[BibT_eX]

[DOI]

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

2019

PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules.

[BibT_eX]

[DOI]

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Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Trust Region Sequential Variational Inference.

[BibT_eX]

[DOI]

Geon-hyeong Kim

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Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Monte-Carlo Tree Search for Constrained POMDPs.

[BibT_eX]

[DOI]

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Geon-hyeong Kim

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

2017

Constrained Bayesian Reinforcement Learning via Approximate Linear Programming.

[BibT_eX]

[DOI]

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Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Hierarchically-partitioned Gaussian Process Approximation.

[BibT_eX]

[DOI]

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Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Bayesian Reinforcement Learning with Behavioral Feedback.

[BibT_eX]

[DOI]

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Pedro A. Ortega

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-view Automatic Lip-Reading Using Neural Network.

[BibT_eX]

[DOI]

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Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

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