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

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Bibliography

2024
Body Transformer: Leveraging Robot Embodiment for Policy Learning.
CoRR, 2024

Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies.
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.
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.
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.
CoRR, 2022

Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions.
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.
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.
Proceedings of the Tenth International Conference on Learning Representations, 2022

GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems.
Proceedings of the Tenth International Conference on Learning Representations, 2022

COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Monte-Carlo Planning and Learning with Language Action Value Estimates.
Proceedings of the 9th International Conference on Learning Representations, 2021

Representation Balancing Offline Model-based Reinforcement Learning.
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.
IEEE Trans. Syst. Man Cybern. Syst., 2020

Reinforcement Learning for Control with Multiple Frequencies.
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.
Proceedings of the 37th International Conference on Machine Learning, 2020

Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues.
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.
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.
Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018
Monte-Carlo Tree Search for Constrained POMDPs.
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.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Hierarchically-partitioned Gaussian Process Approximation.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Bayesian Reinforcement Learning with Behavioral Feedback.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Multi-view Automatic Lip-Reading Using Neural Network.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016


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